Security Management Research Paper Topics

Academic Writing Service

Security management research paper topics are a critical area of study for management students looking to explore the complex world of safeguarding organizational assets. Security management covers various facets, including information security, physical security, risk management, compliance, and more. The study of security management is increasingly relevant in our technology-driven world. Research within this field equips students with the knowledge to protect an organization’s information and physical resources, and the skills to respond to rapidly evolving security threats. This page provides a comprehensive list of research topics to assist students in selecting a subject that aligns with their interests and the current industry demands. The following sections will provide an in-depth look into various security management research topics, organized into ten categories with ten subjects each. Additionally, this page will offer insights into how to choose and write about these topics, along with an overview of iResearchNet’s customized writing services for those who seek professional assistance.

100 Security Management Research Paper Topics

The field of security management is as vast as it is vital in today’s global landscape. From protecting information systems to ensuring the physical safety of assets, security management plays a central role in the smooth operation of organizations across various sectors. As we dive into this comprehensive list of security management research paper topics, students will find a plethora of subjects that are both challenging and relevant. The topics are divided into ten distinct categories, each focusing on a different aspect of security management.

Academic Writing, Editing, Proofreading, And Problem Solving Services

Get 10% off with 24start discount code.

  • Role of Encryption in Data Protection
  • Security Protocols in Wireless Networks
  • Cloud Security Management Strategies
  • Biometric Security Measures
  • Ethical Hacking and Defense Strategies
  • Security Risks in Internet of Things (IoT)
  • Mobile Application Security
  • Compliance with GDPR and Other Regulations
  • Social Engineering Attacks and Prevention
  • Virtual Private Networks (VPNs) and Security
  • Designing Secure Buildings and Facilities
  • Access Control Systems and Technologies
  • Surveillance and Monitoring Techniques
  • Security Personnel Training and Management
  • Risk Assessment for Physical Threats
  • Vehicle Security and Fleet Management
  • Maritime Security Protocols
  • Security Measures for Public Events
  • Emergency Response and Evacuation Planning
  • Integration of Technology in Physical Security
  • Enterprise Risk Management Strategies
  • Security Policies and Compliance Auditing
  • Regulatory Compliance in Different Industries
  • Risk Mitigation and Disaster Recovery Planning
  • Cyber Insurance and Risk Transfer
  • Security Awareness and Training Programs
  • Third-party Vendor Risk Management
  • Financial Risk Management in Security Operations
  • Implementing ISO Security Standards
  • Privacy Policies and Consumer Protection
  • Cyber Threat Intelligence and Analysis
  • Intrusion Detection Systems and Firewalls
  • Secure Software Development Lifecycle
  • Incident Response and Crisis Management
  • Security Considerations in E-commerce
  • Protecting Against Ransomware and Malware
  • Security in Social Networking Sites
  • Cybersecurity in Critical Infrastructure
  • Mobile Device Security in the Workplace
  • Privacy vs. Security in Cyber Law
  • Role of CISO (Chief Information Security Officer)
  • Security Leadership and Governance
  • Insider Threat Management and Mitigation
  • Security Culture and Employee Behavior
  • Contractual and Legal Aspects of Security
  • Intellectual Property Protection
  • Security Metrics and Performance Indicators
  • Outsourcing Security Services
  • Security Budgeting and Financial Management
  • Integrating Security with Business Strategy
  • Terrorism and Counterterrorism Strategies
  • Security Intelligence and Law Enforcement
  • Border Control and Immigration Security
  • Cyber Warfare and State-sponsored Attacks
  • Protection of Critical National Infrastructure
  • Emergency Preparedness and Response
  • Security Considerations in International Relations
  • Humanitarian Security and Crisis Management
  • Nuclear Security and Non-proliferation
  • Global Maritime Security Issues
  • Security in Hospitals and Healthcare Facilities
  • Patient Data Privacy and HIPAA Compliance
  • Medical Device and IoT Security
  • Emergency Medical Services and Security
  • Security Measures for Mental Health Facilities
  • Pharmaceutical Supply Chain Security
  • Bioterrorism and Public Health Security
  • Security Education for Healthcare Professionals
  • Medical Records Security and Management
  • Telemedicine and Remote Healthcare Security
  • Security Considerations in Online Retail
  • Fraud Detection and Prevention Strategies
  • Payment Security and PCI Compliance
  • Inventory Security and Loss Prevention
  • Consumer Trust and Brand Protection
  • E-commerce Regulations and Compliance
  • Security in Omnichannel Retailing
  • Secure Customer Experience Design
  • Mobile Commerce Security
  • Retail Surveillance and Anti-shoplifting Techniques
  • Campus Safety and Security Measures
  • Cybersecurity Education and Curriculum
  • Student Data Privacy and Protection
  • Security in Online Learning Platforms
  • Intellectual Property Rights in Academia
  • Emergency Response Plans for Educational Institutions
  • School Transportation Security
  • Security Measures for Laboratories and Research Facilities
  • Ethical Guidelines in Academic Research
  • Security Considerations in International Student Exchange
  • Artificial Intelligence in Security
  • Quantum Computing and Cryptography
  • Security Implications of 5G Technology
  • Sustainable and Green Security Practices
  • Human Factors in Security Design
  • Blockchain for Security Applications
  • Virtual and Augmented Reality Security
  • Security in Autonomous Vehicles
  • Integration of Smart Technologies in Security
  • Ethical Considerations in Emerging Security Technologies

Security management is an ever-evolving field, reacting to both technological advancements and global socio-political changes. The above categories and topics encompass a broad spectrum of the security management domain. This comprehensive list is designed to inspire students and guide them towards a research paper that not only interests them but also contributes to the growing body of knowledge in security management. By exploring these topics, students will have the opportunity to deepen their understanding of current issues and become part of the ongoing conversation in this vital area of study.

Security Management and the Range of Research Paper Topics

Introduction to security management.

Security management has increasingly become a central concern for organizations, governments, and individuals in our interconnected and technologically driven world. Its primary focus is on safeguarding assets, information, and people by assessing risks and implementing strategies to mitigate potential threats. From the micro-level of individual privacy protection to the macro-level of national security, the concepts and practices within this field permeate almost every aspect of our daily lives. This article delves into the fundamental aspects of security management and explores the extensive range of research paper topics it offers.

Key Principles and Concepts in Security Management

  • Risk Assessment and Mitigation: At the core of security management lies the process of identifying, evaluating, and minimizing risks. It involves recognizing potential vulnerabilities, assessing the likelihood of threats, and implementing measures to reduce the potential impact.
  • Compliance and Regulation: Security management is also heavily influenced by various laws, regulations, and industry standards. Whether it’s GDPR for data protection or HIPAA for healthcare, compliance with these regulations is essential to avoid legal consequences.
  • Physical and Cyber Security: Security management encompasses both the physical and digital realms. Physical security focuses on protecting tangible assets, such as buildings and equipment, while cyber security emphasizes safeguarding digital information.
  • Human Factors: People are often considered the weakest link in security. Training, awareness, and a robust security culture are crucial in ensuring that employees and stakeholders understand and adhere to security protocols.
  • Technology and Innovation: With the advent of new technologies like AI, blockchain, and IoT, security management must continuously evolve to address the unique challenges and opportunities they present.
  • Global Perspectives: In a globally connected world, security management must consider international laws, cross-border data flows, and the unique risks associated with different geographical regions.
  • Ethics and Social Responsibility: Ethical considerations in security management include respecting individual privacy, transparency in surveillance, and social responsibility in using technology for security purposes.

Range and Depth of Research Paper Topics

Given the complexity and multidimensionality of security management, the range of research paper topics in this field is vast. The following sections provide an insight into the various dimensions that can be explored:

  • Information Security Management: Research can focus on encryption, authentication, intrusion detection, or explore the psychological aspects of social engineering attacks.
  • Physical Security Management: Topics may include architectural design for security, biometrics, or the balance between security and convenience in access controls.
  • Organizational Security Management: This includes leadership and governance in security, insider threats, and the alignment of security strategies with business goals.
  • Global and National Security Management: Areas to explore here include counterterrorism strategies, cybersecurity policies among nations, or human rights considerations in security protocols.
  • Retail and E-commerce Security Management: From payment security to fraud detection, this area explores the unique challenges in the retail and online shopping environment.
  • Emerging Trends in Security Management: This invites research into the future of security management, considering technological advancements, emerging threats, and the ethical implications of new tools and techniques.

Security management is an intricate field that intertwines technological, human, organizational, and societal aspects. It continues to evolve in response to the rapidly changing global landscape marked by technological innovation, geopolitical shifts, and emerging threats. The range of research paper topics in security management reflects this diversity and offers a wealth of opportunities for students to engage with cutting-edge issues.

The ongoing development of this field requires fresh insights, innovative thinking, and a commitment to understanding the underlying principles that govern security management. By delving into any of the areas outlined above, students can contribute to this exciting and ever-changing field. Whether exploring traditional aspects like risk management or venturing into the realms of AI and blockchain, the possibilities for research are as broad and varied as the field itself.

This article provides a foundational understanding of security management and serves as a springboard for further exploration. It’s a gateway to a myriad of research avenues, each offering a unique perspective and challenge, all united by the common goal of enhancing the security and safety of our interconnected world.

How to Choose Security Management Research Paper Topics

Selecting a topic for a research paper in the field of security management is a crucial step that sets the tone for the entire research process. The breadth and depth of this field offer a wide array of possibilities, making the choice both exciting and somewhat daunting. The topic must be relevant, engaging, unique, and, most importantly, aligned with the researcher’s interests and the academic requirements. This section provides a comprehensive guide on how to choose the perfect security management research paper topic, with 10 actionable tips to simplify the process.

  • Identify Your Interests: Begin by exploring areas within security management that truly intrigue you. Whether it’s cyber threats, risk management, or physical security measures, your passion for the subject will drive a more engaging research process.
  • Understand the Scope: Security management spans across various sectors such as IT, healthcare, retail, and more. Assess the scope of your paper to determine which sector aligns best with your academic needs and professional goals.
  • Consider the Relevance: Choose a topic that is pertinent to current trends and challenges in security management. Researching emerging threats or innovative technologies can lead to more compelling findings.
  • Assess Available Resources: Ensure that there is enough accessible information and research material on the chosen topic. A topic too obscure might lead to difficulties in finding supporting evidence and data.
  • Consult with Your Advisor or Mentor: An experienced academic advisor or mentor can provide valuable insights into the feasibility and potential of various topics, helping you make an informed decision.
  • Balance Complexity and Manageability: Selecting a topic that is too broad can be overwhelming, while a narrow topic might lack depth. Striking the right balance ensures that you can comprehensively cover the subject within the stipulated word count and time frame.
  • Consider Ethical Implications: Especially in a field like security management, ethical considerations must be at the forefront. Any topic involving human subjects, privacy concerns, or potentially sensitive information should be approached with caution and integrity.
  • Align with Learning Objectives: Reflect on the specific learning outcomes of your course or program, and choose a topic that aligns with these objectives. It ensures that your research contributes to your overall academic development.
  • Evaluate Potential Contributions: Think about what new insights or perspectives your research could offer to the field of security management. Choosing a topic that allows you to make a meaningful contribution can be more satisfying and impactful.
  • Experiment with Preliminary Research: Before finalizing a topic, conduct some preliminary research to gauge the existing literature and potential research gaps. It can help refine your focus and provide a clearer direction.

Choosing a research paper topic in security management is a multifaceted process that requires thoughtful consideration of various factors. By following the tips outlined above, you can navigate through the complexities of this task and select a topic that resonates with your interests, aligns with academic goals, and contributes to the broader field of security management. Remember, a well-chosen topic is the foundation upon which a successful research paper is built. It’s the starting point that leads to a journey filled with discovery, analysis, and intellectual growth. Make this choice wisely, and let it be a gateway to an engaging and rewarding research experience.

How to Write a Security Management Research Paper

A. introductory paragraph.

Writing a research paper on security management requires more than just a keen interest in the subject; it demands a systematic approach, adherence to academic standards, and the ability to synthesize complex information. Security management, with its multifaceted nature encompassing physical security, cybersecurity, risk assessment, and more, offers an exciting but challenging landscape for research. In this section, we will delve into a step-by-step guide comprising 10 vital tips on how to write an effective security management research paper. These tips aim to guide you through the research, planning, writing, and revision stages, ensuring a coherent and impactful paper.

  • Choose the Right Topic: Guidance: Reflect on your interests, the current trends in the field, and the available resources. Consult with mentors and refer to the previous section for more insights into selecting the perfect topic.
  • Conduct Thorough Research: Guidance: Use reliable sources like academic journals, books, and reputable online resources. Gather diverse viewpoints on the topic and keep track of the sources for citation.
  • Develop a Strong Thesis Statement: Guidance: The thesis should encapsulate the main argument or focus of your paper. It should be clear, concise, and specific, providing a roadmap for the reader.
  • Create an Outline: Guidance: Outline the main sections, including introduction, literature review, methodology, findings, discussion, conclusion, and references. An organized structure helps maintain coherence and logical flow.
  • Write a Compelling Introduction: Guidance: Begin with a hook that grabs the reader’s attention, provide background information, and conclude with the thesis statement. The introduction sets the stage for the entire paper.
  • Employ the Appropriate Methodology: Guidance: Choose the research methods that align with your research question and objectives. Explain the rationale behind your choices, ensuring that they adhere to ethical standards.
  • Analyze Findings and Discuss Implications: Guidance: Present your research findings in a clear and unbiased manner. Discuss the implications of the results in the context of the existing literature and real-world applications.
  • Conclude with Insight: Guidance: Summarize the main findings, restate the thesis in the context of the research, and discuss the potential limitations and future research directions. The conclusion should leave the reader with something to ponder.
  • Adhere to Academic Formatting: Guidance: Follow the specific formatting guidelines required by your institution or the style guide (APA, MLA, etc.). Pay attention to citations, references, headings, and overall presentation.
  • Revise and Proofread: Guidance: Allocate ample time for revising content, structure, and language. Use tools or seek help from peers or professionals for proofreading to ensure grammatical accuracy and clarity.

Writing a security management research paper is a rigorous and intellectually stimulating endeavor that requires meticulous planning, research, and execution. The tips provided in this guide are meant to facilitate a well-structured and insightful paper that adheres to academic excellence. By following these guidelines, you not only develop a comprehensive understanding of security management but also contribute valuable insights to this evolving field. Remember, writing is a process of exploration, articulation, and refinement. Embrace the challenge, learn from the journey, and take pride in the scholarly contribution you make through your research paper on security management.

iResearchNet’s Custom Research Paper Services

In the complex world of security management, crafting a top-notch research paper can be a daunting task. The landscape of security management is multifaceted, encompassing areas such as cybersecurity, risk analysis, policy development, physical security, and much more. For students juggling multiple responsibilities, producing a quality research paper on these intricate subjects may seem nearly impossible. That’s where iResearchNet comes into play. Offering tailor-made solutions to your academic needs, iResearchNet is your go-to service for custom security management research papers. Below are the features that make iResearchNet the ideal choice for your academic success.

  • Expert Degree-Holding Writers: At iResearchNet, we employ writers who not only hold advanced degrees but also have extensive experience in security management. Their expertise ensures that your paper is insightful, well-researched, and academically sound.
  • Custom Written Works: Every research paper is crafted from scratch, tailored to your specific needs, guidelines, and preferences. Our writers work closely with you to understand your vision, making the paper uniquely yours.
  • In-Depth Research: Our team engages in thorough research, using reputable sources and cutting-edge methodologies. This diligent approach guarantees a comprehensive understanding of the subject and a well-rounded paper.
  • Custom Formatting: Adhering to academic standards is crucial, and our writers are skilled in various formatting styles. Whether APA, MLA, Chicago/Turabian, or Harvard, your paper will be formatted to perfection.
  • Top Quality: Quality is at the core of our services. From the initial draft to the final submission, we maintain the highest standards of excellence, ensuring that your paper stands out.
  • Customized Solutions: We recognize that each student’s needs are unique. Hence, our solutions are not one-size-fits-all but are customized to meet your specific requirements, timelines, and academic level.
  • Flexible Pricing: Quality doesn’t have to break the bank. Our pricing structure is designed to be affordable and flexible, providing various options to fit different budgets.
  • Short Deadlines: Whether you’re facing a last-minute crunch or planning ahead, our writers can accommodate tight deadlines. Even within as short as 3 hours, we deliver without compromising on quality.
  • Timely Delivery: Your time is valuable, and we respect that. Our commitment to timely delivery ensures that you receive your paper well before the deadline, giving you ample time for review.
  • 24/7 Support:  Questions or concerns? Our support team is available around the clock. With 24/7 assistance, you can rest assured that help is always just a click away.
  • Absolute Privacy: Your privacy is our priority. We employ stringent security measures to protect your personal information. With iResearchNet, your details are safe, secure, and confidential.
  • Easy Order Tracking:  With our user-friendly tracking system, you can easily monitor the progress of your order. Stay updated, provide feedback, and enjoy a smooth and transparent process.
  • Money Back Guarantee:  Your satisfaction is our goal. If, for any reason, our services do not meet your expectations, our money-back guarantee ensures that you are not at a loss.

iResearchNet’s custom security management research paper services are more than just a promise; they are a commitment to excellence, convenience, and integrity. Our blend of expert writers, personalized solutions, quality assurance, and robust support makes us the preferred choice for students across the globe. Dive into the world of security management without the stress of paper writing, knowing that iResearchNet has got your back. Embark on your academic journey with confidence and trust in a partner who understands your needs and shares your pursuit of excellence. With iResearchNet, you’re not just ordering a paper; you’re investing in your future.

Secure Your Academic Success Today

Are you feeling overwhelmed with the prospect of writing your security management research paper? Perhaps you’re struggling to find the right topic, or the research is becoming a tedious task? You don’t have to go through this alone. With iResearchNet’s specialized writing services, all your academic challenges can be turned into opportunities for success.

What sets iResearchNet apart from other writing services is not just our expertise and quality but our understanding of students’ needs. We know that every research paper is not just a task but a step towards your future career in security management. That’s why we invest our best resources to make sure your paper is nothing short of perfect. Our expert writers, meticulous research, and dedication to your satisfaction are all geared towards one goal – helping you excel.

We don’t just write papers; we create opportunities for learning and growth. When you choose iResearchNet, you’re not only receiving a top-notch research paper but also gaining access to a treasure trove of knowledge in security management. With our 24/7 support, flexible pricing, and customizable solutions, your success is no longer a distant dream but a tangible reality.

Take the step towards a brighter academic future. Don’t let the burden of research and writing hold you back from achieving your best. Click the button below to place your order and begin a collaborative journey with iResearchNet. With our secure and user-friendly platform, ordering your custom security management research paper is just a few clicks away. Empower yourself with the right partner, and let iResearchNet pave the way to your academic success.

ORDER HIGH QUALITY CUSTOM PAPER

research topics in security management

Grad Coach

Research Topics & Ideas: Cybersecurity

50 Topic Ideas To Kickstart Your Research

Research topics and ideas about cybersecurity

If you’re just starting out exploring cybersecurity-related topics for your dissertation, thesis or research project, you’ve come to the right place. In this post, we’ll help kickstart your research by providing a hearty list of cybersecurity-related research topics and ideas , including examples from recent studies.

PS – This is just the start…

We know it’s exciting to run through a list of research topics, but please keep in mind that this list is just a starting point . These topic ideas provided here are intentionally broad and generic , so keep in mind that you will need to develop them further. Nevertheless, they should inspire some ideas for your project.

To develop a suitable research topic, you’ll need to identify a clear and convincing research gap , and a viable plan to fill that gap. If this sounds foreign to you, check out our free research topic webinar that explores how to find and refine a high-quality research topic, from scratch. Alternatively, consider our 1-on-1 coaching service .

Research topic idea mega list

Cybersecurity-Related Research Topics

  • Developing machine learning algorithms for early detection of cybersecurity threats.
  • The use of artificial intelligence in optimizing network traffic for telecommunication companies.
  • Investigating the impact of quantum computing on existing encryption methods.
  • The application of blockchain technology in securing Internet of Things (IoT) devices.
  • Developing efficient data mining techniques for large-scale social media analytics.
  • The role of virtual reality in enhancing online education platforms.
  • Investigating the effectiveness of various algorithms in reducing energy consumption in data centers.
  • The impact of edge computing on the performance of mobile applications in remote areas.
  • The application of computer vision techniques in automated medical diagnostics.
  • Developing natural language processing tools for sentiment analysis in customer service.
  • The use of augmented reality for training in high-risk industries like oil and gas.
  • Investigating the challenges of integrating AI into legacy enterprise systems.
  • The role of IT in managing supply chain disruptions during global crises.
  • Developing adaptive cybersecurity strategies for small and medium-sized enterprises.
  • The impact of 5G technology on the development of smart city solutions.
  • The application of machine learning in personalized e-commerce recommendations.
  • Investigating the use of cloud computing in improving government service delivery.
  • The role of IT in enhancing sustainability in the manufacturing sector.
  • Developing advanced algorithms for autonomous vehicle navigation.
  • The application of biometrics in enhancing banking security systems.
  • Investigating the ethical implications of facial recognition technology.
  • The role of data analytics in optimizing healthcare delivery systems.
  • Developing IoT solutions for efficient energy management in smart homes.
  • The impact of mobile computing on the evolution of e-health services.
  • The application of IT in disaster response and management.

Research topic evaluator

Cybersecurity Research Ideas (Continued)

  • Assessing the security implications of quantum computing on modern encryption methods.
  • The role of artificial intelligence in detecting and preventing phishing attacks.
  • Blockchain technology in secure voting systems: opportunities and challenges.
  • Cybersecurity strategies for protecting smart grids from targeted attacks.
  • Developing a cyber incident response framework for small to medium-sized enterprises.
  • The effectiveness of behavioural biometrics in preventing identity theft.
  • Securing Internet of Things (IoT) devices in healthcare: risks and solutions.
  • Analysis of cyber warfare tactics and their implications on national security.
  • Exploring the ethical boundaries of offensive cybersecurity measures.
  • Machine learning algorithms for predicting and mitigating DDoS attacks.
  • Study of cryptocurrency-related cybercrimes: patterns and prevention strategies.
  • Evaluating the impact of GDPR on data breach response strategies in the EU.
  • Developing enhanced security protocols for mobile banking applications.
  • An examination of cyber espionage tactics and countermeasures.
  • The role of human error in cybersecurity breaches: a behavioural analysis.
  • Investigating the use of deep fakes in cyber fraud: detection and prevention.
  • Cloud computing security: managing risks in multi-tenant environments.
  • Next-generation firewalls: evaluating performance and security features.
  • The impact of 5G technology on cybersecurity strategies and policies.
  • Secure coding practices: reducing vulnerabilities in software development.
  • Assessing the role of cyber insurance in mitigating financial losses from cyber attacks.
  • Implementing zero trust architecture in corporate networks: challenges and benefits.
  • Ransomware attacks on critical infrastructure: case studies and defence strategies.
  • Using big data analytics for proactive cyber threat intelligence.
  • Evaluating the effectiveness of cybersecurity awareness training in organisations.

Recent Cybersecurity-Related Studies

While the ideas we’ve presented above are a decent starting point for finding a research topic, they are fairly generic and non-specific. So, it helps to look at actual studies in the cybersecurity space to see how this all comes together in practice.

Below, we’ve included a selection of recent studies to help refine your thinking. These are actual studies,  so they can provide some useful insight as to what a research topic looks like in practice.

  • Cyber Security Vulnerability Detection Using Natural Language Processing (Singh et al., 2022)
  • Security for Cloud-Native Systems with an AI-Ops Engine (Ck et al., 2022)
  • Overview of Cyber Security (Yadav, 2022)
  • Exploring the Top Five Evolving Threats in Cybersecurity: An In-Depth Overview (Mijwil et al., 2023)
  • Cyber Security: Strategy to Security Challenges A Review (Nistane & Sharma, 2022)
  • A Review Paper on Cyber Security (K & Venkatesh, 2022)
  • The Significance of Machine Learning and Deep Learning Techniques in Cybersecurity: A Comprehensive Review (Mijwil, 2023)
  • Towards Artificial Intelligence-Based Cybersecurity: The Practices and ChatGPT Generated Ways to Combat Cybercrime (Mijwil et al., 2023)
  • ESTABLISHING CYBERSECURITY AWARENESS OF TECHNICAL SECURITY MEASURES THROUGH A SERIOUS GAME (Harding et al., 2022)
  • Efficiency Evaluation of Cyber Security Based on EBM-DEA Model (Nguyen et al., 2022)
  • An Overview of the Present and Future of User Authentication (Al Kabir & Elmedany, 2022)
  • Cybersecurity Enterprises Policies: A Comparative Study (Mishra et al., 2022)
  • The Rise of Ransomware: A Review of Attacks, Detection Techniques, and Future Challenges (Kamil et al., 2022)
  • On the scale of Cyberspace and Cybersecurity (Pathan, 2022)
  • Analysis of techniques and attacking pattern in cyber security approach (Sharma et al., 2022)
  • Impact of Artificial Intelligence on Information Security in Business (Alawadhi et al., 2022)
  • Deployment of Artificial Intelligence with Bootstrapped Meta-Learning in Cyber Security (Sasikala & Sharma, 2022)
  • Optimization of Secure Coding Practices in SDLC as Part of Cybersecurity Framework (Jakimoski et al., 2022)
  • CySSS ’22: 1st International Workshop on Cybersecurity and Social Sciences (Chan-Tin & Kennison, 2022)

As you can see, these research topics are a lot more focused than the generic topic ideas we presented earlier. So, for you to develop a high-quality research topic, you’ll need to get specific and laser-focused on a specific context with specific variables of interest.  In the video below, we explore some other important things you’ll need to consider when crafting your research topic.

Get 1-On-1 Help

If you’re still unsure about how to find a quality research topic, check out our Research Topic Kickstarter service, which is the perfect starting point for developing a unique, well-justified research topic.

Research Topic Kickstarter - Need Help Finding A Research Topic?

You Might Also Like:

Topic Kickstarter: Research topics in education

Submit a Comment Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

  • Print Friendly

Burp Scanner

Burp Suite's web vulnerability scanner

Burp Suite's web vulnerability scanner'

Product comparison

What's the difference between Pro and Enterprise Edition?

Burp Suite Professional vs Burp Suite Enterprise Edition

Download the latest version of Burp Suite.

The latest version of Burp Suite software for download

How I choose a security research topic

James Kettle

James Kettle

Director of Research

Published: 14 June 2023 at 13:09 UTC

Updated: 14 June 2023 at 13:16 UTC

research topics in security management

How do you choose what topic to research? That’s the single most common question I get asked, probably because selecting a topic is such a daunting prospect. In this post, I’ll take a personal look at how I select topics for security research. As a case study, I’ll use my latest research, which will be presented at Black Hat USA and DEF CON this August:

Smashing the State Machine: the True Potential of Web Race Conditions

The hardest part

Before we start, I should mention that I firmly believe that choosing a topic is not the hardest part of web security research.

I’ve spoken to so many people who have cool ideas but never attempt to execute them. On the rare occasion that someone does mention a research idea that I think is doomed from the outset, it’s clear that attempting it will still provide them with a major learning experience - hardly a terrible outcome.

In fact, I don’t think that coming up with research ideas is the hard part either. Once you start researching, you’ll likely find every topic you explore leaves you with ideas for three more projects.

I think the hardest part of research is knowing when to bail, and when to push on.

Fast failure

My primary criteria when I evaluate a topic is how much time I’ll need to invest before I have enough information to decide whether to abandon it or continue. Knowing when to abandon a topic and when to push on is an extremely valuable skill for research, and it’s worth putting thought into this before starting.

This year, the attack-concept I wanted to explore initially looked like it required a major up-front time investment. However, I identified a short-cut - if I could build a test website that was vulnerable and reasonably realistic, that would prove the concept was pursuing. I built the website, quickly discovered that the attack concept was extremely unrealistic, and quickly pivoted to a different concept.

The second concept showed just enough promise to make me waste six weeks on it before it flopped too. When looking for a third concept, race conditions was an attractive topic because I already had powerful tooling from the prior project. This meant it would only take about a day to adapt the tooling, and a week or two of manual testing to see if I could discover something significant in the wild. I found a novel high-impact vulnerability in under a week, which cemented my commitment to the topic.

The fear factor

I like to research topics I’m scared of. Fear is a great indicator of something I don’t fully understand, and challenges that I don’t know how to tackle. Race conditions provided this in buckets, and I place this up-front and center in my abstract:

For too long, web race-condition attacks have focused on a tiny handful of scenarios. Their true potential has been masked thanks to tricky workflows, missing tooling, and simple network jitter hiding all but the most trivial, obvious examples. In this session, I’ll introduce multiple new classes of race condition that go far beyond the limit-overrun exploits you’re probably already familiar with... [read full abstract]

Direct impact vs audience impact

As a security professional, it’s tempting to rate a research project’s impact based on the direct impact. For example, over the years I’ve seen a range of serious flaws in a certain popular CDN, and I suspect that if I directly targeted it, I could find multiple ways to take over all their customers’ websites - a reasonable chunk of the web. In terms of direct impact, this would be pretty good.

But when you submit to Black Hat, they ask you to specify ‘three actionable take-aways’ for the audience. How would my hypothetical CDN-popping talk answer this? The only action required would be from that sole CDN vendor - in effect I’d just be giving a war-story talk. These can be entertaining and inspiring, but that’s not what I’m aiming for.

I try to pick a topic where the audience will take away novel attack techniques, and any tools or methodology required to make them practical to apply.

Applicable audience

Over the last five years, my research has been focused on HTTP Request Smuggling and Web Cache Poisoning . Since I’m well-versed in this topic, doing further research directly on top has become relatively easy, and I’m perpetually aware of multiple promising ideas.

However, while creating the presentation for last year’s Browser-Powered Desync Attacks , I became acutely aware that it demanded an exceptional amount of prior technical knowledge from the audience.

Building on a little recent research often works well because you can summarise it yourself. However, building on a large volume of recent research means that anyone in the audience who isn’t already familiar is going to struggle, and overall less people will get the benefit.

This year, by focusing on race conditions - a topic with minimal recent developments - I’ve been able to start building on a foundation that most attendees will be familiar with. Relative to last year’s talk, you can expect this talk to have both greater potential for the experts, and greater accessibility for the masses.

Existing skill-sets vs personal development

There’s a second, more personal reason why I changed my research focus away from request smuggling. I expect request smuggling to keep yielding good research for years to come, but just like any topic, at some point it’ll dry up. If I maintain my exclusive focus on this topic, there’s a risk I’ll become over-specialised and end up in a bad place when the topic stops yielding fruit.

I deliberately choose race conditions to avoid this over-specialisation risk, even though I regarded it as a much riskier bet than doing even more request smuggling exploration. Personal development is a huge and easily overlooked part of research. I rarely repeat my presentations across months for the same reason - if you spend your time sharing the same presentation over and over, you’re sacrificing novel research time.

That said, there’s a balance to be had here - if you have specialist knowledge, that will give you an edge on certain topics. Race conditions appealed from the start because I’d observed low-level HTTP quirks that could enhance these attacks, and I’d also observed them in the wild when trying to exploit response queue poisoning.

No topic is perfect; this presentation has fewer case studies than usual for me because fully automated detection of these vulnerabilities is not practical. On the plus side, this leaves a large number of vulnerabilities on the table that the audience can find simply by applying the methodology.

Ultimately, I see over-thinking topic choice as a pitfall. Save your energy for the research itself - you’ll need it! If you found this useful, you might also like So you want to be a web security researcher , and the presentation Hunting Evasive Vulnerabilities .

If you’re got any thoughts or queries, feel free to ping me on Twitter or LinkedIn . Hopefully I’ll see some of you in-person at the presentation too!

Back to all articles

Related Research

Making desync attacks easy with trace, using form hijacking to bypass csp, hiding payloads in java source code strings.

system-security.png

Cyber threats have grown exponentially as the modern web and powerful AI systems have proliferated. We’re designing systems to secure the hybrid cloud and AI for sensitive datasets to ensure organizations can continue to operate safely and securely.

What is red teaming for generative AI?

  • Adversarial Robustness and Privacy
  • Fairness, Accountability, Transparency
  • Foundation Models
  • Natural Language Processing
  • Trustworthy AI

IBM and VU Amsterdam researchers reveal a new vulnerability in all major CPU architectures

research topics in security management

DARPA and IBM are ensuring that anyone can protect their AI systems from hackers

research topics in security management

  • Data and AI Security

The 2023 IBM Research annual letter

research topics in security management

  • Accelerated Discovery
  • Hybrid Cloud
  • Semiconductors

The era of quantum utility must also be the era of responsible quantum computing

The era of quantum utility must also be the era of responsible quantum computing

  • Quantum Community
  • Quantum Safe

An AI model trained on data that looks real but won’t leak personal information

  • See more of our work on Security
  • Cloud Security: Infrastructure and Applications Advancing the system integrity of cloud systems in mission-critical situations.
  • Confidential Computing The cloud computing revolution has brought new security challenges. Confidential computing aims to protect applications and their data when running in the cloud. It works by consistently keeping the application and data encrypted, and only decrypting it inside the processor using keys known to the application/data owner and the processor.
  • Cryptography Building the next generation of private, authenticated, and confidential communication cyrtopgraphy tools.
  • Data and AI Security Designing systems to monitor and protect sensitive data for robust and secure AI systems on the hybrid cloud.
  • Quantum-Safe Cryptography and Migration  Designing cryptographic algorithms that are quantum-safe to ensure the world’s digital infrastructure is secure.
  • Threat Management Building the next wave of tools to help security teams detect and deflect against advanced cybersecurity threats.

Publications

  • Kenneth G. Paterson
  • Nathan Manohar
  • Eurocrypt 2024
  • Shiqiang Wang
  • Divyansh Jhunjhunwala
  • AISTATS 2024
  • Pau-Chen Cheng
  • Kevin Eykholt
  • EuroSys 2024
  • Bertram Poettering
  • Simon Rastikian

Man with a tool belt and computer console on wheels standing in the middle of two isles of computer server racks. There is some pretty great cable management on display here.

IBM Security Solutions

Innovations from our Security Research teams are regularly developed into cutting-edge new capabilities for IBM’s Security offerings.

research topics in security management

Quantum-safe Cryptography Algorithms

  • Cryptography

privacy-enhancing-technologies.png

Privacy Enhancing Technologies for Regulatory Compliance

500+ Cyber Security Research Topics

Cyber Security Research Topics

Cybersecurity has become an increasingly important topic in recent years as more and more of our lives are spent online. With the rise of the digital age, there has been a corresponding increase in the number and severity of cyber attacks. As such, research into cybersecurity has become critical in order to protect individuals, businesses, and governments from these threats. In this blog post, we will explore some of the most pressing cybersecurity research topics, from the latest trends in cyber attacks to emerging technologies that can help prevent them. Whether you are a cybersecurity professional, a Master’s or Ph.D. student, or simply interested in the field, this post will provide valuable insights into the challenges and opportunities in this rapidly evolving area of study.

Cyber Security Research Topics

Cyber Security Research Topics are as follows:

  • The role of machine learning in detecting cyber threats
  • The impact of cloud computing on cyber security
  • Cyber warfare and its effects on national security
  • The rise of ransomware attacks and their prevention methods
  • Evaluating the effectiveness of network intrusion detection systems
  • The use of blockchain technology in enhancing cyber security
  • Investigating the role of cyber security in protecting critical infrastructure
  • The ethics of hacking and its implications for cyber security professionals
  • Developing a secure software development lifecycle (SSDLC)
  • The role of artificial intelligence in cyber security
  • Evaluating the effectiveness of multi-factor authentication
  • Investigating the impact of social engineering on cyber security
  • The role of cyber insurance in mitigating cyber risks
  • Developing secure IoT (Internet of Things) systems
  • Investigating the challenges of cyber security in the healthcare industry
  • Evaluating the effectiveness of penetration testing
  • Investigating the impact of big data on cyber security
  • The role of quantum computing in breaking current encryption methods
  • Developing a secure BYOD (Bring Your Own Device) policy
  • The impact of cyber security breaches on a company’s reputation
  • The role of cyber security in protecting financial transactions
  • Evaluating the effectiveness of anti-virus software
  • The use of biometrics in enhancing cyber security
  • Investigating the impact of cyber security on the supply chain
  • The role of cyber security in protecting personal privacy
  • Developing a secure cloud storage system
  • Evaluating the effectiveness of firewall technologies
  • Investigating the impact of cyber security on e-commerce
  • The role of cyber security in protecting intellectual property
  • Developing a secure remote access policy
  • Investigating the challenges of securing mobile devices
  • The role of cyber security in protecting government agencies
  • Evaluating the effectiveness of cyber security training programs
  • Investigating the impact of cyber security on the aviation industry
  • The role of cyber security in protecting online gaming platforms
  • Developing a secure password management system
  • Investigating the challenges of securing smart homes
  • The impact of cyber security on the automotive industry
  • The role of cyber security in protecting social media platforms
  • Developing a secure email system
  • Evaluating the effectiveness of encryption methods
  • Investigating the impact of cyber security on the hospitality industry
  • The role of cyber security in protecting online education platforms
  • Developing a secure backup and recovery strategy
  • Investigating the challenges of securing virtual environments
  • The impact of cyber security on the energy sector
  • The role of cyber security in protecting online voting systems
  • Developing a secure chat platform
  • Investigating the impact of cyber security on the entertainment industry
  • The role of cyber security in protecting online dating platforms
  • Artificial Intelligence and Machine Learning in Cybersecurity
  • Quantum Cryptography and Post-Quantum Cryptography
  • Internet of Things (IoT) Security
  • Developing a framework for cyber resilience in critical infrastructure
  • Understanding the fundamentals of encryption algorithms
  • Cyber security challenges for small and medium-sized businesses
  • Developing secure coding practices for web applications
  • Investigating the role of cyber security in protecting online privacy
  • Network security protocols and their importance
  • Social engineering attacks and how to prevent them
  • Investigating the challenges of securing personal devices and home networks
  • Developing a basic incident response plan for cyber attacks
  • The impact of cyber security on the financial sector
  • Understanding the role of cyber security in protecting critical infrastructure
  • Mobile device security and common vulnerabilities
  • Investigating the challenges of securing cloud-based systems
  • Cyber security and the Internet of Things (IoT)
  • Biometric authentication and its role in cyber security
  • Developing secure communication protocols for online messaging platforms
  • The importance of cyber security in e-commerce
  • Understanding the threats and vulnerabilities associated with social media platforms
  • Investigating the role of cyber security in protecting intellectual property
  • The basics of malware analysis and detection
  • Developing a basic cyber security awareness training program
  • Understanding the threats and vulnerabilities associated with public Wi-Fi networks
  • Investigating the challenges of securing online banking systems
  • The importance of password management and best practices
  • Cyber security and cloud computing
  • Understanding the role of cyber security in protecting national security
  • Investigating the challenges of securing online gaming platforms
  • The basics of cyber threat intelligence
  • Developing secure authentication mechanisms for online services
  • The impact of cyber security on the healthcare sector
  • Understanding the basics of digital forensics
  • Investigating the challenges of securing smart home devices
  • The role of cyber security in protecting against cyberbullying
  • Developing secure file transfer protocols for sensitive information
  • Understanding the challenges of securing remote work environments
  • Investigating the role of cyber security in protecting against identity theft
  • The basics of network intrusion detection and prevention systems
  • Developing secure payment processing systems
  • Understanding the role of cyber security in protecting against ransomware attacks
  • Investigating the challenges of securing public transportation systems
  • The basics of network segmentation and its importance in cyber security
  • Developing secure user access management systems
  • Understanding the challenges of securing supply chain networks
  • The role of cyber security in protecting against cyber espionage
  • Investigating the challenges of securing online educational platforms
  • The importance of data backup and disaster recovery planning
  • Developing secure email communication protocols
  • Understanding the basics of threat modeling and risk assessment
  • Investigating the challenges of securing online voting systems
  • The role of cyber security in protecting against cyber terrorism
  • Developing secure remote access protocols for corporate networks.
  • Investigating the challenges of securing artificial intelligence systems
  • The role of machine learning in enhancing cyber threat intelligence
  • Evaluating the effectiveness of deception technologies in cyber security
  • Investigating the impact of cyber security on the adoption of emerging technologies
  • The role of cyber security in protecting smart cities
  • Developing a risk-based approach to cyber security governance
  • Investigating the impact of cyber security on economic growth and innovation
  • The role of cyber security in protecting human rights in the digital age
  • Developing a secure digital identity system
  • Investigating the impact of cyber security on global political stability
  • The role of cyber security in protecting the Internet of Things (IoT)
  • Developing a secure supply chain management system
  • Investigating the challenges of securing cloud-native applications
  • The role of cyber security in protecting against insider threats
  • Developing a secure software-defined network (SDN)
  • Investigating the impact of cyber security on the adoption of mobile payments
  • The role of cyber security in protecting against cyber warfare
  • Developing a secure distributed ledger technology (DLT) system
  • Investigating the impact of cyber security on the digital divide
  • The role of cyber security in protecting against state-sponsored attacks
  • Developing a secure Internet infrastructure
  • Investigating the challenges of securing industrial control systems (ICS)
  • Developing a secure quantum communication system
  • Investigating the impact of cyber security on global trade and commerce
  • Developing a secure decentralized authentication system
  • Investigating the challenges of securing edge computing systems
  • Developing a secure hybrid cloud system
  • Investigating the impact of cyber security on the adoption of smart cities
  • The role of cyber security in protecting against cyber propaganda
  • Developing a secure blockchain-based voting system
  • Investigating the challenges of securing cyber-physical systems (CPS)
  • The role of cyber security in protecting against cyber hate speech
  • Developing a secure machine learning system
  • Investigating the impact of cyber security on the adoption of autonomous vehicles
  • The role of cyber security in protecting against cyber stalking
  • Developing a secure data-driven decision-making system
  • Investigating the challenges of securing social media platforms
  • The role of cyber security in protecting against cyberbullying in schools
  • Developing a secure open source software ecosystem
  • Investigating the impact of cyber security on the adoption of smart homes
  • The role of cyber security in protecting against cyber fraud
  • Developing a secure software supply chain
  • Investigating the challenges of securing cloud-based healthcare systems
  • The role of cyber security in protecting against cyber harassment
  • Developing a secure multi-party computation system
  • Investigating the impact of cyber security on the adoption of virtual and augmented reality technologies.
  • Cybersecurity in Cloud Computing Environments
  • Cyber Threat Intelligence and Analysis
  • Blockchain Security
  • Data Privacy and Protection
  • Cybersecurity in Industrial Control Systems
  • Mobile Device Security
  • The importance of cyber security in the digital age
  • The ethics of cyber security and privacy
  • The role of government in regulating cyber security
  • Cyber security threats and vulnerabilities in the healthcare sector
  • Understanding the risks associated with social media and cyber security
  • The impact of cyber security on e-commerce
  • The effectiveness of cyber security awareness training programs
  • The role of biometric authentication in cyber security
  • The importance of password management in cyber security
  • The basics of network security protocols and their importance
  • The challenges of securing online gaming platforms
  • The role of cyber security in protecting national security
  • The impact of cyber security on the legal sector
  • The ethics of cyber warfare
  • The challenges of securing the Internet of Things (IoT)
  • Understanding the basics of malware analysis and detection
  • The challenges of securing public transportation systems
  • The impact of cyber security on the insurance industry
  • The role of cyber security in protecting against ransomware attacks
  • The challenges of securing remote work environments
  • Understanding the threats and vulnerabilities associated with social engineering attacks
  • The impact of cyber security on the education sector
  • Investigating the challenges of securing supply chain networks
  • The challenges of securing personal devices and home networks
  • The importance of secure coding practices for web applications
  • The impact of cyber security on the hospitality industry
  • The role of cyber security in protecting against identity theft
  • The challenges of securing public Wi-Fi networks
  • The importance of cyber security in protecting critical infrastructure
  • The challenges of securing cloud-based storage systems
  • The effectiveness of antivirus software in cyber security
  • Developing secure payment processing systems.
  • Cybersecurity in Healthcare
  • Social Engineering and Phishing Attacks
  • Cybersecurity in Autonomous Vehicles
  • Cybersecurity in Smart Cities
  • Cybersecurity Risk Assessment and Management
  • Malware Analysis and Detection Techniques
  • Cybersecurity in the Financial Sector
  • Cybersecurity in Government Agencies
  • Cybersecurity and Artificial Life
  • Cybersecurity for Critical Infrastructure Protection
  • Cybersecurity in the Education Sector
  • Cybersecurity in Virtual Reality and Augmented Reality
  • Cybersecurity in the Retail Industry
  • Cryptocurrency Security
  • Cybersecurity in Supply Chain Management
  • Cybersecurity and Human Factors
  • Cybersecurity in the Transportation Industry
  • Cybersecurity in Gaming Environments
  • Cybersecurity in Social Media Platforms
  • Cybersecurity and Biometrics
  • Cybersecurity and Quantum Computing
  • Cybersecurity in 5G Networks
  • Cybersecurity in Aviation and Aerospace Industry
  • Cybersecurity in Agriculture Industry
  • Cybersecurity in Space Exploration
  • Cybersecurity in Military Operations
  • Cybersecurity and Cloud Storage
  • Cybersecurity in Software-Defined Networks
  • Cybersecurity and Artificial Intelligence Ethics
  • Cybersecurity and Cyber Insurance
  • Cybersecurity in the Legal Industry
  • Cybersecurity and Data Science
  • Cybersecurity in Energy Systems
  • Cybersecurity in E-commerce
  • Cybersecurity in Identity Management
  • Cybersecurity in Small and Medium Enterprises
  • Cybersecurity in the Entertainment Industry
  • Cybersecurity and the Internet of Medical Things
  • Cybersecurity and the Dark Web
  • Cybersecurity and Wearable Technology
  • Cybersecurity in Public Safety Systems.
  • Threat Intelligence for Industrial Control Systems
  • Privacy Preservation in Cloud Computing
  • Network Security for Critical Infrastructure
  • Cryptographic Techniques for Blockchain Security
  • Malware Detection and Analysis
  • Cyber Threat Hunting Techniques
  • Cybersecurity Risk Assessment
  • Machine Learning for Cybersecurity
  • Cybersecurity in Financial Institutions
  • Cybersecurity for Smart Cities
  • Cybersecurity in Aviation
  • Cybersecurity in the Automotive Industry
  • Cybersecurity in the Energy Sector
  • Cybersecurity in Telecommunications
  • Cybersecurity for Mobile Devices
  • Biometric Authentication for Cybersecurity
  • Cybersecurity for Artificial Intelligence
  • Cybersecurity for Social Media Platforms
  • Cybersecurity in the Gaming Industry
  • Cybersecurity in the Defense Industry
  • Cybersecurity for Autonomous Systems
  • Cybersecurity for Quantum Computing
  • Cybersecurity for Augmented Reality and Virtual Reality
  • Cybersecurity in Cloud-Native Applications
  • Cybersecurity for Smart Grids
  • Cybersecurity in Distributed Ledger Technology
  • Cybersecurity for Next-Generation Wireless Networks
  • Cybersecurity for Digital Identity Management
  • Cybersecurity for Open Source Software
  • Cybersecurity for Smart Homes
  • Cybersecurity for Smart Transportation Systems
  • Cybersecurity for Cyber Physical Systems
  • Cybersecurity for Critical National Infrastructure
  • Cybersecurity for Smart Agriculture
  • Cybersecurity for Retail Industry
  • Cybersecurity for Digital Twins
  • Cybersecurity for Quantum Key Distribution
  • Cybersecurity for Digital Healthcare
  • Cybersecurity for Smart Logistics
  • Cybersecurity for Wearable Devices
  • Cybersecurity for Edge Computing
  • Cybersecurity for Cognitive Computing
  • Cybersecurity for Industrial IoT
  • Cybersecurity for Intelligent Transportation Systems
  • Cybersecurity for Smart Water Management Systems
  • The rise of cyber terrorism and its impact on national security
  • The impact of artificial intelligence on cyber security
  • Analyzing the effectiveness of biometric authentication for securing data
  • The impact of social media on cyber security and privacy
  • The future of cyber security in the Internet of Things (IoT) era
  • The role of machine learning in detecting and preventing cyber attacks
  • The effectiveness of encryption in securing sensitive data
  • The impact of quantum computing on cyber security
  • The rise of cyber bullying and its effects on mental health
  • Investigating cyber espionage and its impact on national security
  • The effectiveness of cyber insurance in mitigating cyber risks
  • The role of blockchain technology in cyber security
  • Investigating the effectiveness of cyber security awareness training programs
  • The impact of cyber attacks on critical infrastructure
  • Analyzing the effectiveness of firewalls in protecting against cyber attacks
  • The impact of cyber crime on the economy
  • Investigating the effectiveness of multi-factor authentication in securing data
  • The future of cyber security in the age of quantum internet
  • The impact of big data on cyber security
  • The role of cybersecurity in the education system
  • Investigating the use of deception techniques in cyber security
  • The impact of cyber attacks on the healthcare industry
  • The effectiveness of cyber threat intelligence in mitigating cyber risks
  • The role of cyber security in protecting financial institutions
  • Investigating the use of machine learning in cyber security risk assessment
  • The impact of cyber attacks on the transportation industry
  • The effectiveness of network segmentation in protecting against cyber attacks
  • Investigating the effectiveness of biometric identification in cyber security
  • The impact of cyber attacks on the hospitality industry
  • The future of cyber security in the era of autonomous vehicles
  • The effectiveness of intrusion detection systems in protecting against cyber attacks
  • The role of cyber security in protecting small businesses
  • Investigating the effectiveness of virtual private networks (VPNs) in securing data
  • The impact of cyber attacks on the energy sector
  • The effectiveness of cyber security regulations in mitigating cyber risks
  • Investigating the use of deception technology in cyber security
  • The impact of cyber attacks on the retail industry
  • The effectiveness of cyber security in protecting critical infrastructure
  • The role of cyber security in protecting intellectual property in the entertainment industry
  • Investigating the effectiveness of intrusion prevention systems in protecting against cyber attacks
  • The impact of cyber attacks on the aerospace industry
  • The future of cyber security in the era of quantum computing
  • The effectiveness of cyber security in protecting against ransomware attacks
  • The role of cyber security in protecting personal and sensitive data
  • Investigating the effectiveness of cloud security solutions in protecting against cyber attacks
  • The impact of cyber attacks on the manufacturing industry
  • The effective cyber security and the future of e-votingness of cyber security in protecting against social engineering attacks
  • Investigating the effectiveness of end-to-end encryption in securing data
  • The impact of cyber attacks on the insurance industry
  • The future of cyber security in the era of artificial intelligence
  • The effectiveness of cyber security in protecting against distributed denial-of-service (DDoS) attacks
  • The role of cyber security in protecting against phishing attacks
  • Investigating the effectiveness of user behavior analytics
  • The impact of emerging technologies on cyber security
  • Developing a framework for cyber threat intelligence
  • The effectiveness of current cyber security measures
  • Cyber security and data privacy in the age of big data
  • Cloud security and virtualization technologies
  • Cryptography and its role in cyber security
  • Cyber security in critical infrastructure protection
  • Cyber security in the Internet of Things (IoT)
  • Cyber security in e-commerce and online payment systems
  • Cyber security and the future of digital currencies
  • The impact of social engineering on cyber security
  • Cyber security and ethical hacking
  • Cyber security challenges in the healthcare industry
  • Cyber security and digital forensics
  • Cyber security in the financial sector
  • Cyber security in the transportation industry
  • The impact of artificial intelligence on cyber security risks
  • Cyber security and mobile devices
  • Cyber security in the energy sector
  • Cyber security and supply chain management
  • The role of machine learning in cyber security
  • Cyber security in the defense sector
  • The impact of the Dark Web on cyber security
  • Cyber security in social media and online communities
  • Cyber security challenges in the gaming industry
  • Cyber security and cloud-based applications
  • The role of blockchain in cyber security
  • Cyber security and the future of autonomous vehicles
  • Cyber security in the education sector
  • Cyber security in the aviation industry
  • The impact of 5G on cyber security
  • Cyber security and insider threats
  • Cyber security and the legal system
  • The impact of cyber security on business operations
  • Cyber security and the role of human behavior
  • Cyber security in the hospitality industry
  • The impact of cyber security on national security
  • Cyber security and the use of biometrics
  • Cyber security and the role of social media influencers
  • The impact of cyber security on small and medium-sized enterprises
  • Cyber security and cyber insurance
  • The impact of cyber security on the job market
  • Cyber security and international relations
  • Cyber security and the role of government policies
  • The impact of cyber security on privacy laws
  • Cyber security in the media and entertainment industry
  • The role of cyber security in digital marketing
  • Cyber security and the role of cybersecurity professionals
  • Cyber security in the retail industry
  • The impact of cyber security on the stock market
  • Cyber security and intellectual property protection
  • Cyber security and online dating
  • The impact of cyber security on healthcare innovation
  • Cyber security and the future of e-voting
  • Cyber security and the role of open source software
  • Cyber security and the use of social engineering in cyber attacks
  • The impact of cyber security on the aviation industry
  • Cyber security and the role of cyber security awareness training
  • Cyber security and the role of cybersecurity standards and best practices
  • Cyber security in the legal industry
  • The impact of cyber security on human rights
  • Cyber security and the role of public-private partnerships
  • Cyber security and the future of e-learning
  • Cyber security and the role of mobile applications
  • The impact of cyber security on environmental sustainability
  • Cyber security and the role of threat intelligence sharing
  • Cyber security and the future of smart homes
  • Cyber security and the role of cybersecurity certifications
  • The impact of cyber security on international trade
  • Cyber security and the role of cyber security auditing

About the author

' src=

Muhammad Hassan

Researcher, Academic Writer, Web developer

You may also like

Funny Research Topics

200+ Funny Research Topics

Sports Research Topics

500+ Sports Research Topics

Environmental Research Topics

500+ Environmental Research Topics

Economics Research Topics

500+ Economics Research Topics

Physics Research Topics

500+ Physics Research Topics

Google Scholar Research Topics

500+ Google Scholar Research Topics

Cookie Notice

This website uses cookies. Contact us for questions or requests.

Augusta University Logo

Information for:

  • Current Students
  • Faculty & Staff
  • Degrees & Programs
  • Campus Maps
  • Jobs & Careers
  • Campus Shuttles
  • Student Life
  •   Giving

Looking through a glass door into a room with computers and office equipment

  • Augusta University

5 Research Topics in Cybersecurity

In 2022, market and consumer data firm Statista reported that cyberattacks would cost individuals and companies $8.4 trillion globally that year. By 2027, it projected, the cost would rise to $23.8 trillion. Cyberattacks occur when individuals gain unauthorized access to digital systems and information for malicious purposes. Their enormous cost to people and organizations makes it critical to protect systems, software and data against those attacks.

The term “cybersecurity” refers to efforts to protect corporate or personal electronic equipment against these costly attacks. Understanding the vulnerabilities that can allow unauthorized and damaging access to digital systems is a key component in cybersecurity research. An advanced degree in information security management can help professionals learn how cybersecurity risks are evolving, what cybersecurity risks to look for in their own organizations and how to address them.

What Is Cybersecurity Research?

Cybersecurity research focuses on reviewing digital tools and processes to reveal potential vulnerabilities. Research on cybersecurity topics ranging from the Internet of Things (IoT) to work-from-home (WFH) information security can help people and companies stave off data breaches in those key areas.

Cybersecurity professionals can rely on computer science research tactics such as testing web browsers and online applications to uncover areas that a hacker could exploit to gain unauthorized data access. They can also turn to empirical research that examines issues related to cybersecurity from various angles, from criminal science to international relations, and that offers approaches to address those concerns.

In fact, conducting research about potential security threats and information technology (IT) trends is a key responsibility of cybersecurity professionals, such as information security analysts.

Why Is Cybersecurity Research Important?

The value of cybersecurity research is growing due to the proliferation of connected devices that allow cybercriminals to access digital information — and as the costs associated with successful cyberattacks increase.

The origin of cyberattacks can be computers and the systems that run them, but it can also be any of hundreds of everyday devices that use technology to collect and share data. From smartphones to medical equipment, the tools that cyberattackers can compromise generate or store a staggering amount of data.

Statista reports that the amount of data created, copied, downloaded and read globally in 2010 was 2 zettabytes. By 2025, Statista predicts, the capacity of the data in use around the world will reach 181 zettabytes.

The growth in the use of data is occurring alongside a host of issues, from COVID-19-related disruptions to geopolitical events, that can make the technology that shares and stores it more vulnerable to attack. Conducting research on cybersecurity topics can assist IT professionals in protecting these large amounts of data during challenging times by helping them:

  • Understand the vulnerabilities of digital tools and processes
  • Determine the significance of data breach impacts
  • Prioritize their efforts to ensure protection of critical information

5 Current Research Topics in Cybersecurity?

Today’s most pressing research topics in cybersecurity go beyond password protection and firewalls. A global pandemic, geopolitical events and technological advances are also behind some key topics that are now driving cybersecurity research. Below are five of those top cybersecurity research topics.

1. Artificial Intelligence

Artificial intelligence (AI), in which machines complete tasks that traditionally had required humans to perform, today is helping computing professionals observe and analyze activity related to large amounts of digital data. The efficiency of using AI for cybersecurity can lead to significant savings as organizations respond to data compromises. The shortened response time led companies to an average of $3 million in savings in those situations, according to a 2022 report from IBM.

One key research topic for cybersecurity professionals is how best to use AI to find potential vulnerabilities and remove them — before cyberattackers use that same technology to find those security risks and exploit them.

However, AI in the wrong hands can also present a cybersecurity risk. AI can also be a tool for misusing data, with cybercriminals relying on this technology to create inauthentic emails and phone messages to trick users into providing personal data. The increasing reliance on AI makes this issue even more important for cybersecurity researchers, with Statista projecting in 2022 that the AI software market would reach $126 billion around the world by 2025.

2. Digital Supply Chains

Digital supply chain systems monitor and evaluate the functions of each party in the chain, to help them produce and distribute products more efficiently. Hackers can exploit the technology used in this process, making cyberattacks an additional threat to supply chains already experiencing disruptions related to the pandemic.

For example, technology research firm Gartner, predicted in 2022 that by 2025, a total of 45 percent of companies would suffer digital attacks on their supply chains. This percentage is three times higher than the percentage from 2021. A 2022 report from cybersecurity company Venafi found that 82 percent of chief information officers feared that their organizations’ supply chains were vulnerable to this type of attack.

Cybersecurity professionals today are investigating potential digital security risks in supply chains, while corporate leaders are seeking out suppliers that focus on researching — and correcting — these vulnerabilities.

3. Internet of Things

The IoT refers to the ability to connect almost any device with the internet and with other connected tools. From kitchen appliances to wearable fitness gadgets, numerous products and tools are part of the IoT. Statista reported in 2022 that more than 11 million devices were digitally connected in 2021. The firm also projected that more than 29 billion devices would be IoT connected by 2030.

The many devices that rely on the IoT measure and process vast amounts of data, and the networks and cloud systems that hold and share that data present a host of security risks. A key area of cybersecurity research has been tracking these vulnerabilities. Manufacturers, consumers and governments have begun using the knowledge gathered by cybersecurity researchers to establish practices and policies that safeguard against the risks these researchers are finding.

4. State-Sponsored Attacks

Cyberattacks from government actors seeking state secrets are nothing new, but a growing trend is for hackers seeking this unauthorized access to target organizations and individuals with no government affiliation. The ultimate goal can be intelligence, technology theft, supply chain disruption or even influencing internal politics through disinformation.

A 2022 Forbes article noted that in 2023, more than 70 nations were set to conduct elections, and the digital activities related to these events, including reports about them, are a frequent target of hostile government actors. Additionally, countries involved in armed conflicts increasingly rely on cyberattacks to gain advantage over enemy governments, even when it involves interfering with the work of private companies and citizens.

These trends have made it critical for cybersecurity researchers to learn more about potential vulnerabilities in government networks, attacks on private companies that can impact critical infrastructure, and the security of elections.

5. Working From Home

Fueled by pandemic restrictions, the number of WFH employees exploded in recent years. The number of remote workers will reach more than 36 million in the U.S. by 2025, according to 2020 projections from freelancing platform Upwork.

The many employees based at off-site locations have made managing data security difficult for companies, whose workers may use unprotected devices to access and transmit business information. That leaves the employees vulnerable to attacks that target sensitive data or threaten malicious activity unless the company meets the hackers’ demands.

Adding to the security risk is the proliferation of work and other activity that requires the use of the internet and internet-based tools like videoconferencing. A 2021 Pew Research Center survey showed that 40 percent of Americans had relied on these types of tools and processes in new ways since the pandemic began in early 2020. Cybersecurity professionals are studying how best to protect employees — and the corporate data they use in their work — from cyberattackers.

Take a Leadership Role in Cybersecurity

Cybersecurity research can shed light on issues with data protection — and the tools and processes that provide it. If you’re ready to help guide your organization’s response to cybersecurity issues, explore Augusta University Online’s Master of Science (MS) in Information Security Management program.

Through online courses focused on Certified Information Systems Security Professional (CISSP) certification elements, students can gain the knowledge to help their employers navigate today’s cybersecurity challenges. Explore how AU Online’s MS in Information Security Management can help you reach your career goals.

Built In, “What Is Artificial Intelligence?” Cybersecurity and Infrastructure Security Agency, Cyber Threats and Advisories Forbes, “The Top Five Cybersecurity Trends in 2023” Gartner, “7 Top Trends in Cybersecurity for 2022” IBM, “Cost of Data Breach 2022: A Million Dollar Race to Detect and Respond” IBM, What Is Cybersecurity? Journal of Cybersecurity, About the Journal Microsoft, What Is a Cyberattack? Network World, “What Is IoT? The Internet of Things Explained” Oracle, “Digital Supply Chain Explained” Pew Research Center, “The Internet and the Pandemic” Statista, Estimated Cost of Cybercrime Worldwide From 2016 to 2027 Statista, Number of Internet of Things (IoT)-Connected Devices Worldwide From 2019 to 2021, With Forecasts From 2022 to 2030 Statista, Revenues From the Artificial Intelligence (AI) Software Market Worldwide From 2018 to 2025 Statista, Volume of Data/Information Created, Captured, Copied, and Consumed Worldwide From 2010 to 2020, With Forecasts From 2021 to 2025 TechRadar Pro, “Why Cybersecurity Research Is Now More Important Than Ever” The Conversation, “5 Ways the COVID-19 Pandemic Has Forever Changed Cybersecurity” Upwork, Upwork Study Finds 22% of American Workforce Will Be Remote by 2025 U.S. Bureau of Labor Statistics, Information Security Analysts Venafi, “Study: 82% of CIOs Say Their Software Supply Chains Are Vulnerable” Vivaldi, “An Insight Into Security Research and Ethical Hacking”

Want to hear more about Augusta University Online’s programs?

Fill out the form below, and an admissions representative will reach out to you via email or phone with more information. After you’ve completed the form, you’ll automatically be redirected to learn more about Augusta University Online and your chosen program.

  • Press Enter to activate screen reader mode.

Center for Security Studies

Research projects.

At the heart of the Center for Security Studies (CSS) research activities are key questions of contemporary security and strategy. We are particularly interested in the changing landscape of threats that states and their societies face, the methodologies, concepts, and tools used to gain knowledge about these threats and the way states and other actors organise themselves to confront these threats.

Theoretically informed, but empirically-grounded engagement with threat perceptions, but also actual methodologies, strategies and policies used to manage the threats help us to study the relationship between conceptual shifts in security-thinking and the resulting modes of security governance. By asking for causes and implications of these changes for the state and society, we tackle the key issues of authority and legitimacy in security affairs, and how the relationship between politics and security is re-arranged.

Conflict Resolution and Violence Prevention

  • chevron_right Ceasefires and Mediation Processes
  • chevron_right Strong Communities, Weak States: Lynching in Latin America
  • chevron_right Remote Monitoring of Armed Conflicts
  • chevron_right Switzerland at the UN Security Council: Academic Insights
  • chevron_right World Politics and UN Peace Missions
  • chevron_right The Internationalisation of Civil War – How the International System Shapes Rebellion

Digital Technologies and Security Politics

  • chevron_right The Threat Politics of Cybersecurity
  • chevron_right Cyber Power: Operational Mechanisms, Constraints and Strategic Consequences
  • chevron_right Digital Disinformation in World Politics
  • chevron_right Bias in Commercial Cyber Threat Reporting and Distorted Threat Perceptions

Strategic Competition in an Age of Complexity

  • chevron_right Emerging technologies in politics and on the battlefield
  • chevron_right Conceptualizing Multilateral Nuclear Arms Control
  • chevron_right Public and Elite Opinion on Nuclear Politics
  • chevron_right Strategic Planning in International Relations
  • chevron_right Mechanisms of Nuclear Constraint
  • chevron_right Technological Transformations and International security

Concluded Projects

  • chevron_right Motivations for Participation in National Cybersecurity Organizations
  • chevron_right Cognitive and Affective Components of Cyber Operations
  • chevron_right How Military-Technological Trade-Offs Influence Efficient Project Size in Armaments Acquisition
  • chevron_right American Grand Strategy towards China
  • chevron_right Keeping Many Peaces: Conflict Resolution in Local, Non-State Based Conflicts
  • chevron_right The Requirements to Develop a Cyber Force
  • chevron_right European Grand Strategy in an Era of Geopolitical Change
  • chevron_right Social and Political Consequences of Terrorism in Western Europe
  • chevron_right International Security and Global International Relations: Explaining State Behaviour beyond the West
  • chevron_right Smart Peace Project
  • chevron_right The Implications of Military-Technological Complexity for the US-China Military Competition
  • chevron_right Intelligence Assessments of Nuclear Programs
  • chevron_right Which Region? The Politics of the UN Security Council P5 in International Security Crises
  • chevron_right Fostering Cyber Security through Enhanced Cyber-Intelligence Cooperation: Tools, Opportunities, and Inherent Limitations
  • chevron_right The other side of COIN: Insurgents Firepower and Counter-insurgency Outcome
  • chevron_right Military-Technological Superiority: Explaining Failure and Success in Industrial Espionage, Reverse Engineering and Imitation of Advanced Weapon Systems
  • chevron_right The Role of Political Leaders in Nuclear Proliferation
  • chevron_right The Possibilities and Pitfalls of Prediction: Academic Contributions to Future-oriented Policy-making
  • chevron_right TAKEDOWN
  • Location location_on IFW C 25.1
  • Phone phone +41 44 632 07 55
  • contacts vCard Download

Schweiz.- u. Int. Sicherheitspol. Haldeneggsteig 4 8092 Zürich Switzerland

Student Exchange

external page Erasmus Mundus International Master call_made

This is a potential security issue, you are being redirected to https://csrc.nist.gov .

You have JavaScript disabled. This site requires JavaScript to be enabled for complete site functionality.

An official website of the United States government

Here’s how you know

Official websites use .gov A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS A lock ( Lock Locked padlock icon ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

  • Drafts for Public Comment
  • All Public Drafts
  • NIST Special Publications (SPs)
  • NIST interagency/internal reports (NISTIRs)
  • ITL Bulletins
  • White Papers
  • Journal Articles
  • Conference Papers
  • Security & Privacy

Applications

Technologies.

  • Laws & Regulations
  • Activities & Products
  • News & Updates
  • Cryptographic Technology
  • Secure Systems and Applications
  • Security Components and Mechanisms
  • Security Engineering and Risk Management
  • Security Testing, Validation, and Measurement
  • Cybersecurity and Privacy Applications
  • National Cybersecurity Center of Excellence (NCCoE)
  • National Initiative for Cybersecurity Education (NICE)

Security and Privacy

  • digital signatures
  • key management
  • lightweight cryptography
  • message authentication
  • post-quantum cryptography
  • random number generation
  • secure hashing
  • cybersecurity supply chain risk management
  • general security & privacy
  • access authorization
  • access control
  • Personal Identity Verification
  • public key infrastructure
  • personally identifiable information
  • privacy engineering
  • categorization
  • continuous monitoring
  • controls assessment
  • privacy controls
  • security controls
  • risk assessment
  • roots of trust
  • system authorization
  • advanced persistent threats
  • information sharing
  • intrusion detection & prevention
  • vulnerability management
  • accessibility
  • testing & validation
  • acquisition
  • asset management
  • audit & accountability
  • awareness training & education
  • configuration management
  • contingency planning
  • incident response
  • maintenance
  • media protection
  • patch management
  • personnel security
  • physical & environmental protection
  • program management
  • security automation
  • reliability
  • artificial intelligence
  • cloud & virtualization
  • combinatorial testing
  • personal computers
  • quantum information science
  • smart cards
  • operating systems
  • communications & wireless
  • cyber-physical systems
  • cybersecurity education
  • cybersecurity framework
  • cybersecurity workforce
  • industrial control systems
  • Internet of Things
  • mathematics
  • positioning navigation & timing
  • small & medium business

Laws and Regulations

  • Comprehensive National Cybersecurity Initiative
  • Cybersecurity Strategy and Implementation Plan
  • Cyberspace Policy Review
  • Executive Order 13636
  • Executive Order 13702
  • Executive Order 13718
  • Executive Order 13800
  • Executive Order 13905
  • Executive Order 14028
  • Executive Order 14110
  • Federal Cybersecurity Research and Development Strategic Plan
  • Homeland Security Presidential Directive 7
  • Homeland Security Presidential Directive 12
  • OMB Circular A-11
  • OMB Circular A-130
  • Cyber Security R&D Act
  • Cybersecurity Enhancement Act
  • E-Government Act
  • Energy Independence and Security Act
  • Federal Information Security Modernization Act
  • First Responder Network Authority
  • Health Insurance Portability and Accountability Act
  • Help America Vote Act
  • Internet of Things Cybersecurity Improvement Act
  • Federal Acquisition Regulation

Activities and Products

  • annual reports
  • conferences & workshops
  • quick start guides
  • reference materials
  • standards development
  • financial services
  • hospitality
  • manufacturing
  • public safety
  • telecommunications
  • transportation

For enquiries call:

+1-469-442-0620

banner-in1

60+ Latest Cyber Security Research Topics for 2024

Home Blog Security 60+ Latest Cyber Security Research Topics for 2024

Play icon

The concept of cybersecurity refers to cracking the security mechanisms that break in dynamic environments. Implementing Cyber Security Project topics and cyber security thesis topics /ideas helps overcome attacks and take mitigation approaches to security risks and threats in real-time. Undoubtedly, it focuses on events injected into the system, data, and the whole network to attack/disturb it.

The network can be attacked in various ways, including Distributed DoS, Knowledge Disruptions, Computer Viruses / Worms, and many more. Cyber-attacks are still rising, and more are waiting to harm their targeted systems and networks. Detecting Intrusions in cybersecurity has become challenging due to their Intelligence Performance. Therefore, it may negatively affect data integrity, privacy, availability, and security. 

This article aims to demonstrate the most current Cyber Security Topics for Projects and areas of research currently lacking. We will talk about cyber security research questions, cyber security research questions, cyber security topics for the project, best cyber security research topics, research titles about cyber security and web security research topics.

Cyber Security Research Topics

List of Trending Cyber Security Research Topics for 2024

Digital technology has revolutionized how all businesses, large or small, work, and even governments manage their day-to-day activities, requiring organizations, corporations, and government agencies to utilize computerized systems. To protect data against online attacks or unauthorized access, cybersecurity is a priority. There are many Cyber Security Courses online where you can learn about these topics. With the rapid development of technology comes an equally rapid shift in Cyber Security Research Topics and cybersecurity trends, as data breaches, ransomware, and hacks become almost routine news items. In 2024, these will be the top cybersecurity trends.

A) Exciting Mobile Cyber Security Research Paper Topics

  • The significance of continuous user authentication on mobile gadgets. 
  • The efficacy of different mobile security approaches. 
  • Detecting mobile phone hacking. 
  • Assessing the threat of using portable devices to access banking services. 
  • Cybersecurity and mobile applications. 
  • The vulnerabilities in wireless mobile data exchange. 
  • The rise of mobile malware. 
  • The evolution of Android malware.
  • How to know you’ve been hacked on mobile. 
  • The impact of mobile gadgets on cybersecurity. 

B) Top Computer and Software Security Topics to Research

  • Learn algorithms for data encryption 
  • Concept of risk management security 
  • How to develop the best Internet security software 
  • What are Encrypting Viruses- How does it work? 
  • How does a Ransomware attack work? 
  • Scanning of malware on your PC 
  • Infiltrating a Mac OS X operating system 
  • What are the effects of RSA on network security ? 
  • How do encrypting viruses work?
  • DDoS attacks on IoT devices 

C) Trending Information Security Research Topics

  • Why should people avoid sharing their details on Facebook? 
  • What is the importance of unified user profiles? 
  • Discuss Cookies and Privacy  
  • White hat and black hat hackers 
  • What are the most secure methods for ensuring data integrity? 
  • Talk about the implications of Wi-Fi hacking apps on mobile phones 
  • Analyze the data breaches in 2024
  • Discuss digital piracy in 2024
  • critical cyber-attack concepts 
  • Social engineering and its importance 

D) Current Network Security Research Topics

  • Data storage centralization
  • Identify Malicious activity on a computer system. 
  • Firewall 
  • Importance of keeping updated Software  
  • wireless sensor network 
  • What are the effects of ad-hoc networks  
  • How can a company network be safe? 
  • What are Network segmentation and its applications? 
  • Discuss Data Loss Prevention systems  
  • Discuss various methods for establishing secure algorithms in a network. 
  • Talk about two-factor authentication

E) Best Data Security Research Topics

  • Importance of backup and recovery 
  • Benefits of logging for applications 
  • Understand physical data security 
  • Importance of Cloud Security 
  • In computing, the relationship between privacy and data security 
  • Talk about data leaks in mobile apps 
  • Discuss the effects of a black hole on a network system. 

F) Important Application Security Research Topics

  • Detect Malicious Activity on Google Play Apps 
  • Dangers of XSS attacks on apps 
  • Discuss SQL injection attacks. 
  • Insecure Deserialization Effect 
  • Check Security protocols 

G) Cybersecurity Law & Ethics Research Topics

  • Strict cybersecurity laws in China 
  • Importance of the Cybersecurity Information Sharing Act. 
  • USA, UK, and other countries' cybersecurity laws  
  • Discuss The Pipeline Security Act in the United States 

H) Recent Cyberbullying Topics

  • Protecting your Online Identity and Reputation 
  • Online Safety 
  • Sexual Harassment and Sexual Bullying 
  • Dealing with Bullying 
  • Stress Center for Teens 

I) Operational Security Topics

  • Identify sensitive data 
  • Identify possible threats 
  • Analyze security threats and vulnerabilities 
  • Appraise the threat level and vulnerability risk 
  • Devise a plan to mitigate the threats 

J) Cybercrime Topics for a Research Paper

  • Crime Prevention. 
  • Criminal Specialization. 
  • Drug Courts. 
  • Criminal Courts. 
  • Criminal Justice Ethics. 
  • Capital Punishment.
  • Community Corrections. 
  • Criminal Law. 

Research Area in Cyber Security

The field of cyber security is extensive and constantly evolving. Its research covers a wide range of subjects, including: 

  • Quantum & Space  
  • Data Privacy  
  • Criminology & Law 
  • AI & IoT Security

How to Choose the Best Research Topics in Cyber Security

A good cybersecurity assignment heading is a skill that not everyone has, and unfortunately, not everyone has one. You might have your teacher provide you with the topics, or you might be asked to come up with your own. If you want more research topics, you can take references from Certified Ethical Hacker Certification, where you will get more hints on new topics. If you don't know where to start, here are some tips. Follow them to create compelling cybersecurity assignment topics. 

1. Brainstorm

In order to select the most appropriate heading for your cybersecurity assignment, you first need to brainstorm ideas. What specific matter do you wish to explore? In this case, come up with relevant topics about the subject and select those relevant to your issue when you use our list of topics. You can also go to cyber security-oriented websites to get some ideas. Using any blog post on the internet can prove helpful if you intend to write a research paper on security threats in 2024. Creating a brainstorming list with all the keywords and cybersecurity concepts you wish to discuss is another great way to start. Once that's done, pick the topics you feel most comfortable handling. Keep in mind to stay away from common topics as much as possible. 

2. Understanding the Background

In order to write a cybersecurity assignment, you need to identify two or three research paper topics. Obtain the necessary resources and review them to gain background information on your heading. This will also allow you to learn new terminologies that can be used in your title to enhance it. 

3. Write a Single Topic

Make sure the subject of your cybersecurity research paper doesn't fall into either extreme. Make sure the title is neither too narrow nor too broad. Topics on either extreme will be challenging to research and write about. 

4. Be Flexible

There is no rule to say that the title you choose is permanent. It is perfectly okay to change your research paper topic along the way. For example, if you find another topic on this list to better suit your research paper, consider swapping it out. 

The Layout of Cybersecurity Research Guidance

It is undeniable that usability is one of cybersecurity's most important social issues today. Increasingly, security features have become standard components of our digital environment, which pervade our lives and require both novices and experts to use them. Supported by confidentiality, integrity, and availability concerns, security features have become essential components of our digital environment.  

In order to make security features easily accessible to a wider population, these functions need to be highly usable. This is especially true in this context because poor usability typically translates into the inadequate application of cybersecurity tools and functionality, resulting in their limited effectiveness. 

Writing Tips from Expert

Additionally, a well-planned action plan and a set of useful tools are essential for delving into Cyber Security Research Topics. Not only do these topics present a vast realm of knowledge and potential innovation, but they also have paramount importance in today's digital age. Addressing the challenges and nuances of these research areas will contribute significantly to the global cybersecurity landscape, ensuring safer digital environments for all. It's crucial to approach these topics with diligence and an open mind to uncover groundbreaking insights.

  • Before you begin writing your research paper, make sure you understand the assignment. 
  • Your Research Paper Should Have an Engaging Topic 
  • Find reputable sources by doing a little research 
  • Precisely state your thesis on cybersecurity 
  • A rough outline should be developed 
  • Finish your paper by writing a draft 
  • Make sure that your bibliography is formatted correctly and cites your sources. 
Discover the Power of ITIL 4 Foundation - Unleash the Potential of Your Business with this Cost-Effective Solution. Boost Efficiency, Streamline Processes, and Stay Ahead of the Competition. Learn More!

Studies in the literature have identified and recommended guidelines and recommendations for addressing security usability problems to provide highly usable security. The purpose of such papers is to consolidate existing design guidelines and define an initial core list that can be used for future reference in the field of Cyber Security Research Topics.

The researcher takes advantage of the opportunity to provide an up-to-date analysis of cybersecurity usability issues and evaluation techniques applied so far. As a result of this research paper, researchers and practitioners interested in cybersecurity systems who value human and social design elements are likely to find it useful. You can find KnowledgeHut’s Cyber Security courses online and take maximum advantage of them.

Frequently Asked Questions (FAQs)

Businesses and individuals are changing how they handle cybersecurity as technology changes rapidly - from cloud-based services to new IoT devices. 

Ideally, you should have read many papers and know their structure, what information they contain, and so on if you want to write something of interest to others. 

The field of cyber security is extensive and constantly evolving. Its research covers various subjects, including Quantum & Space, Data Privacy, Criminology & Law, and AI & IoT Security. 

Inmates having the right to work, transportation of concealed weapons, rape and violence in prison, verdicts on plea agreements, rehab versus reform, and how reliable are eyewitnesses? 

Profile

Mrinal Prakash

I am a B.Tech Student who blogs about various topics on cyber security and is specialized in web application security

Avail your free 1:1 mentorship session.

Something went wrong

Upcoming Cyber Security Batches & Dates

Course advisor icon

  • Bibliography
  • More Referencing guides Blog Automated transliteration Relevant bibliographies by topics
  • Automated transliteration
  • Relevant bibliographies by topics
  • Referencing guides

Dissertations / Theses on the topic 'Security Risk Management Model'

Create a spot-on reference in apa, mla, chicago, harvard, and other styles.

Consult the top 50 dissertations / theses for your research on the topic 'Security Risk Management Model.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.

Lategan, Neil. "Epirismm: an enterprise information risk management model." Thesis, Nelson Mandela Metropolitan University, 2006. http://hdl.handle.net/10948/541.

Carlsson, Elin, and Moa Mattsson. "The MaRiQ model: A quantitative approach to risk management." Thesis, Uppsala universitet, Avdelningen för datalogi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385257.

Garay, Daniel Felipe Carnero, Antonio Carbajal Ramos Marcos, Jimmy Armas-Aguirre, and Juan Manuel Madrid Molina. "Information security risk management model for mitigating the impact on SMEs in Peru." IEEE Computer Society, 2020. http://hdl.handle.net/10757/656577.

Saleh, Mohamed S. M. "Analysis of Information Security Risks and Protection Management Requirements for Enterprise Networks." Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5414.

Saleh, Mohamed Saad Morsy. "Analysis of information security risks and protection management requirements for enterprise networks." Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5414.

Lundberg, Johan. "Dynamic Risk Management in Information Security : A socio-technical approach to mitigate cyber threats in the financial sector." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-87359.

Hassebroek, Pamela Burns. "Institutionalized Environments and Information Security Management: Learning from Y2K." Diss., Available online, Georgia Institute of Technology, 2007, 2007. http://etd.gatech.edu/theses/available/etd-06192007-111256/.

Fischer, Radek. "Rozšířený model pro hodnocení opatření bezpečnosti informací." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-359263.

Kaňok, Dalibor. "Řízení úvěrového rizika v nadnárodní společnosti." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-12186.

García, Porras Johari Chris, and Pastor Sarita Cecilia Huamani. "Modelo de gestión de riesgos de seguridad de la información para pymes en el Perú." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2019. http://hdl.handle.net/10757/625905.

Nakhjavani, Arya. "Geo-Political Risk-Augmented Capital Asset Pricing Model and the Effect on Long-Term Stock Market Returns." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/cmc_theses/1764.

Zajíček, Juraj. "Návrh metodiky analýzy rizik kritických aplikací v bankovním sektoru." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-382716.

Kubík, Lukáš. "Informační bezpečnost jako jeden z ukazatelů hodnocení výkonnosti v energetické společnosti." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-318305.

Koudela, Radek. "Hodnocení přístupů k analýze bezpečnostních rizik." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-85251.

Kroll, Josiane. "um modelo conceitual para especificação da gestão de riscos de segurança em sistemas de informação." Universidade Federal de Santa Maria, 2010. http://repositorio.ufsm.br/handle/1/8137.

Malandrin, Leandro José Aguilar Andrijic. "Modelo de suporte a políticas e gestão de riscos de segurança voltado à terceirização de TIC, computação em nuvem e mobilidade." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-27122013-104448/.

Palarczyk, Vít. "Zavedení ISMS v malém podniku." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2015. http://www.nusl.cz/ntk/nusl-224894.

Hruška, David. "Návrh změn identity managementu v podniku." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2018. http://www.nusl.cz/ntk/nusl-378329.

Dixon, David D. "Leveraging knowledge management tools to support security risk management in the Homeland Security." Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/10593.

Cho, Sungback. "Risk analysis and management for information security." Thesis, Royal Holloway, University of London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.404796.

Ogbanufe, Obiageli. "Three Essays on Information Security Risk Management." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157576/.

Hayat, Mohammed Zia. "Information Security Risk Management for Ubiquitous Computing." Thesis, University of Southampton, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.484894.

Hasenstab, Alexander Nikolaus. "The thoughtful security practitioner : exploring reflective practice in security risk management." Thesis, University of Portsmouth, 2017. https://researchportal.port.ac.uk/portal/en/theses/the-thoughtful-security-practitioner(f78f3e97-0672-4b47-9633-3e18534db101).html.

Viduto, Valentina. "A risk assessment and optimisation model for minimising network security risk and cost." Thesis, University of Bedfordshire, 2012. http://hdl.handle.net/10547/270440.

Britton, David W. Brown Ian A. "A security risk measurement for the RAdAC model." Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion.exe/07Mar%5FBritton.pdf.

Brown, Ian A., and David W. Britton. "A security risk measurement for the RAdAC model." Thesis, Monterey, California. Naval Postgraduate School, 2007. http://hdl.handle.net/10945/3647.

Cheang, Sek Lam. "Electronic commerce and security : risk identification and management." Thesis, University of Macau, 2001. http://umaclib3.umac.mo/record=b1636215.

Talas, Risto Henrik Aleksander. "The efficient relationship between residual security risk and security investment for maritime port facilities." Thesis, City University London, 2010. http://openaccess.city.ac.uk/8730/.

Bui, Thu-Tam T. "A pharmaceutical risk management model." Oklahoma City : [s.n.], 2006.

Štukhejl, Kamil. "Návrh zavedení ISMS ve veřejné správě." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2019. http://www.nusl.cz/ntk/nusl-399673.

Kuehn, Daniel, and Sofia Ljunggren. "Refining a Network Model Concerning Network Security Risk Analysis." Thesis, KTH, Data- och elektroteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-154355.

Meyers, Tommey H. "Safety risk management for Homeland Defense and Security responders." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Sep%5FMeyers.pdf.

Xiao, Fei. "Risk based multi-objective security control and congestion management." [Ames, Iowa : Iowa State University], 2007.

Metaparti, Satya Prakash. "Risk management initiatives for post 9/11 maritime security." Thesis, Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B42841859.

Boven, Marlies van. "Investigation of a fundamental model of security returns." Thesis, University of Warwick, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340084.

Moe, Lwin P. "Cyber security risk analysis framework : network traffic anomaly detection." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118536.

Shahverdyan, Sergey. "Model free optimisation in risk management." Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:6ae9525e-1120-448b-89a2-1670955eb833.

Liwång, Hans, Jonas W. Ringsberg, and Martin Norsell. "Quantitative risk analysis : Ship security analysis for effective risk control options." Försvarshögskolan, Militärtekniska avdelningen (MTA), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:fhs:diva-3800.

Farahmand, Fariborz. "Developing a Risk Management System for Information Systems Security Incidents." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/7600.

Paczkowski, John P. "Risk management as strategic change in national homeland security policy." Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Sep%5FPaczkowski.pdf.

Horta, Pedro Henrique de Macedo. "Risk management system model for airlines operators." Instituto Tecnológico de Aeronáutica, 2010. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=1325.

Casas, Victoriano. "An information security risk assessment model for public and university administrators /." View online, 2006. http://ecommons.txstate.edu/arp/109.

Vasilevskaya, Maria. "Security in Embedded Systems : A Model-Based Approach with Risk Metrics." Doctoral thesis, Linköpings universitet, Institutionen för datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-122149.

In the electronic version are grammatical and spelling errors corrected.

He, Ying. "Generic security templates for information system security arguments : mapping security arguments within healthcare systems." Thesis, University of Glasgow, 2014. http://theses.gla.ac.uk/5773/.

Ponenti, Albert M. "An integrative risk management/governance framework for homeland security decision making." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://bosun.nps.edu/uhtbin/hyperion-image.exe/08Mar%5FPonenti.pdf.

Larrimore, Nancy Page. "Risk Management Strategies to Prevent and Mitigate Emerging Operational Security Threats." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/4866.

Holmstedt, Malena. "Social Media Risk Management : and the impact on organization IT security." Thesis, Luleå tekniska universitet, Digitala tjänster och system, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-79296.

Mkpong-Ruffin, Idongesit Okon Umphress David A. Hamilton John A. "Quantitative risk assessment model for software security in the design phase of software development." Auburn, Ala., 2009. http://hdl.handle.net/10415/1584.

Mayer, Nicolas. "Model-based Management of Information System Security Risk." Phd thesis, 2009. http://tel.archives-ouvertes.fr/tel-00402996.

Lin, Jing-Han, and 林京漢. "Study on Architecture-Oriented Information Security Risk Management Model." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/hvqty6.

research topics in security management

Research Security and Risk Management

Data is central to research, innovation, and opportunity. However, all data, including research data, also carries risk. By appropriately managing your research data—and its inherent risks—you can help keep your project on track and avoid legal and regulatory penalties.

A simple research data security plan complements your data management plan and demonstrates your due diligence in planning for and managing risks to your project data.

To streamline the planning process and help you allocate more of your time to conducting research, use the Secure UD Research Security Plan Tool . This easy-to-use tool asks a series of yes/no questions that walks you through relevant risks and produces a self-documenting security plan for managing them. Creating your research data security plan takes less than an hour, and your finished plan is a valuable resource for protecting your work.

Secure UD Managing Research Data Risks complements the Secure UD Research Security Plan tool and the information on this page. It provides succinct summaries of the types of risk you may encounter and tips for managing those risks.

You can also contact IT Security for a consultation about research data risk and for assistance in incorporating risk management strategies into your data management plan, security plan, and research practices.

research topics in security management

Type of risk

Does it apply to you?

Physical asset risk

How will you manage devices and paper documents containing project data?

Physical assets include...

  • desktop and laptop computers
  • mobile devices (smartphones and tablets)
  • removable storage media
  • paper documents

Every project involves some number of physical assets necessary for project activities. All of these assets facilitate the completion of your project, but they and the data they contain must be managed and protected appropriately.

Confidentiality risk

Will your project involve any data that has restrictions on who can view or access it?

Do you have any data that...

  • can only be disclosed to authorized parties?
  • is required by law, regulation, or contract to remain confidential?
  • is sensitive by nature and would have a negative impact if disclosed?
  • would be valuable to hackers, corporate spies, foreign intelligence, etc.?

Data confidentiality is about protecting data against unintentional, unlawful, or unauthorized access, disclosure, or theft.

Integrity risk

Will your project involve any data that, if not maintained with integrity, would significantly impact the accuracy or feasibility of the study?

  • must remain accurate and uncorrupted?
  • must only be modified by certain individuals or in a controlled manner?
  • must come only from trusted sources?

Data integrity is about protecting data against improper maintenance, modification, of alteration. It includes data accuracy and authenticity.

Availability risk

Will your project involve any data that, if lost, stolen, or destroyed, would be irreplaceable or would significantly impact the feasibility of the study?

  • must remain available or accessible during the project?
  • must remain available or accessible after the project is complete?
  • cannot be easily re-obtained or re-created?

Data availability is about the timeliness and reliability of access to and use of data. It includes data accessibility.

Privacy risk

Will your project involve any data that, either by itself or in combination with publicly available information, has the potential to violate privacy expectations or individuals?

  • involves human subjects?
  • has explicit legal or regulatory privacy protection requirements?
  • is sensitive, or has the potential to be sensitive if combined with other information?

Data privacy is about respecting individuals' reasonable expectations to be free from unreasonable observation and excessive collection or use of personal data (what is being observed and how it is being used).

Privacy risks apply to projects involving human-related data, such as data related to individual's behavior, medical records, or learning patterns. Some projects may not involve data with privacy-related risks.

Legal, regulatory, and contractual risk

Will your project involve any data that is subject to legal, regulatory, or contractual requirements?

  • is subject to laws or regulations (e.g., FERPA, HIPAA, Common Rule)?
  • is provided to you under a contract or agreement?
  • is subject to grant or contract restrictions or security requirements?

Data laws and regulations govern the handling of particularly sensitive kinds of information and may present the risk of fines, funding loss, or even imprisonment. Health data, education records, defense articles, and other data present legal and regulatory risk that goes hand-in-hand with other risks like confidentiality, privacy, human, etc.

Sponsored research agreements may specify data security standards and requirements that must be followed during or after the study. Data contracts may govern how data from a particular source or generated by a particular contract can be used or what rights researchers acquire to that data.

Is every member of your team, including you, aware of data risk and security?

Is your team...

  • aware of their responsibility for security?
  • aware of security best practices?
  • watchful for unusual behavior that may indicate data theft?

Human risk includes human vulnerability to social engineering, awareness of security practices, and insider threats.

research topics in security management

U.S. flag

An official website of the United States government

Here’s how you know

Official websites use .gov A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS A lock ( Lock A locked padlock ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

  • Publication Library

Emergency Management of Tomorrow Research Fact Sheet

The Department of Homeland Security (DHS) Science and Technology Directorate (S&T) is coordinating with Pacific Northwest National Laboratory (PNNL) to develop an effective research agenda that supports emergency managers with effective information sharing technologies and to identify, develop and transition the use of these advanced technologies in support of EOC activities. These technologies include emerging artificial intelligence, machine learning, data analytics, and decision aids.

  • Science and Technology

Advertisement

Advertisement

AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions

  • Review Article
  • Published: 26 March 2021
  • Volume 2 , article number  173 , ( 2021 )

Cite this article

  • Iqbal H. Sarker   ORCID: orcid.org/0000-0003-1740-5517 1 , 2 ,
  • Md Hasan Furhad 3 &
  • Raza Nowrozy 4  

21k Accesses

128 Citations

21 Altmetric

Explore all metrics

Artificial intelligence (AI) is one of the key technologies of the Fourth Industrial Revolution (or Industry 4.0), which can be used for the protection of Internet-connected systems from cyber threats, attacks, damage, or unauthorized access. To intelligently solve today’s various cybersecurity issues, popular AI techniques involving machine learning and deep learning methods, the concept of natural language processing, knowledge representation and reasoning, as well as the concept of knowledge or rule-based expert systems modeling can be used. Based on these AI methods, in this paper, we present a comprehensive view on “AI-driven Cybersecurity” that can play an important role for intelligent cybersecurity services and management . The security intelligence modeling based on such AI methods can make the cybersecurity computing process automated and intelligent than the conventional security systems. We also highlight several research directions within the scope of our study, which can help researchers do future research in the area. Overall, this paper’s ultimate objective is to serve as a reference point and guidelines for cybersecurity researchers as well as industry professionals in the area, especially from an intelligent computing or AI-based technical point of view.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price includes VAT (Russian Federation)

Instant access to the full article PDF.

Rent this article via DeepDyve

Institutional subscriptions

research topics in security management

Similar content being viewed by others

research topics in security management

Artificial Intelligence and Cybersecurity: Past, Presence, and Future

research topics in security management

Artificial Intelligence for Cybersecurity: Threats, Attacks and Mitigation

research topics in security management

The Future of Cybersecurity: Major Role of Artificial Intelligence, Machine Learning, and Deep Learning in Cyberspace

Li S, Da Li X, Zhao S. The internet of things: a survey. Inf Syst Front. 2015;17(2):243–59.

Article   Google Scholar  

Velte T, Velte A, Elsenpeter R. Cloud computing, a practical approach. New York: McGraw-Hill Inc; 2009.

Google Scholar  

Sarker IH, Kayes ASM, Badsha S, Alqahtani H, Watters P, Ng A. Cybersecurity data science: an overview from machine learning perspective. J Big Data. 2020;7(1):1–29.

Ibm security report. https://www.ibm.com/security/data-breach . Accessed 20 Oct 2019.

Fischer EA. Cybersecurity issues and challenges: in brief. 2014.

Anwar S, Mohamad Zain J, Zolkipli MF, Inayat Z, Khan S, Anthony B, Chang V. From intrusion detection to an intrusion response system: fundamentals, requirements, and future directions. Algorithms. 2017;39(2):10.

MATH   Google Scholar  

Mohammadi S, Mirvaziri H, Ghazizadeh-Ahsaee M, Karimipour H. Cyber intrusion detection by combined feature selection algorithm. J Inf Secur Appl. 2019;44:80–8.

Tapiador JE, Orfila A, Ribagorda A, Ramos B. Key-recovery attacks on kids, a keyed anomaly detection system. IEEE Trans Dependable Secur Comput. 2013;12(3):312–25.

Tavallaee M, Stakhanova N, Ghorbani AA. Toward credible evaluation of anomaly-based intrusion-detection methods. IEEE Trans Syst Man Cybern Part C (Appl Rev). 2010;40(5):516–24.

Foroughi F, Luksch P. Data science methodology for cybersecurity projects. arXiv preprint arXiv:1803.04219 . 2018.

Saxe J, Sanders H. Malware data science: attack detection and attribution. 2018.

Rainie L, Anderson J, Connolly J. Cyber attacks likely to increase. Digit Life. 2014;2025.

Al-Garadi MA, Mohamed A, Al-Ali A, Du X, Ali I, Guizani M. A survey of machine and deep learning methods for internet of things (iot) security. IEEE Commun Surv Tutor. 2020;22:1646–85.

Google trends. In https://trends.google.com/trends/ . 2019.

Craigen D, Diakun-Thibault N, Purse R. Defining cybersecurity. Technol Innov Manag Rev. 2014;4(10):13–21.

Aftergood S. Cybersecurity: the cold war online. Nature. 2017;547(7661):30.

National Research Council et al. Toward a safer and more secure cyberspace. 2007.

Jang-Jaccard J, Nepal S. A survey of emerging threats in cybersecurity. J Comput Syst Sci. 2014;80(5):973–93.

MathSciNet   MATH   Google Scholar  

Lahcen RAM, Caulkins B, Mohapatra R, Kumar M. Review and insight on the behavioral aspects of cybersecurity. Cybersecurity. 2020;3:1–18.

Mukkamala S, Sung A, Abraham A. Cyber security challenges: designing efficient intrusion detection systems and antivirus tools. In: Vemuri VR editor. Enhancing Computer Security with Smart Technology (Auerbach, 2006). 2005. p. 125–163.

Sun N, Zhang J, Rimba P, Gao S, Zhang LY, Xiang Y. Data-driven cybersecurity incident prediction: a survey. IEEE Commun Surv Tutor. 2018;21(2):1744–72.

McIntosh T, Jang-Jaccard J, Watters P, Susnjak T. The inadequacy of entropy-based ransomware detection. In: International conference on neural information processing. Springer; 2019. p. 181–189.

Dai J, Chen C, Li Y. A backdoor attack against lstm-based text classification systems. IEEE Access. 2019;7:138872–8.

Wang B, Yao Y, Shan S, Li H, Viswanath B, Zheng H, Zhao BY. Neural cleanse: Identifying and mitigating backdoor attacks in neural networks. In: 2019 IEEE symposium on security and privacy (SP). IEEE; 2019. p. 707–723.

Banerjee A, Rahman MS, Faloutsos M. Sut: quantifying and mitigating url typosquatting. Comput Netw. 2011;55(13):3001–14.

Alsayed A, Bilgrami A. E-banking security: internet hacking, phishing attacks, analysis and prevention of fraudulent activities. Int J Emerg Technol Adv Act. 2017;7(1):109–15.

Alazab M, Venkatraman S, Watters P, Alazab M, et al. Zero-day malware detection based on supervised learning algorithms of API call signatures. Proceedings of the 9th Australasian Data Mining Conference (AusDM), Ballarat, Australia. Australian Computer Society, CRPIT; 2010, vol 121.

Bilge L, Dumitraş T. Before we knew it: an empirical study of zero-day attacks in the real world. In: Proceedings of the 2012 ACM conference on computer and communications security. ACM; 2012. p. 833–844.

Moghimi A, Wichelmann J, Eisenbarth T, Sunar B. Memjam: a false dependency attack against constant-time crypto implementations. Int J Parallel Program. 2019;47(4):538–70.

Warkentin M, Willison R. Behavioral and policy issues in information systems security: the insider threat. Eur J Inf Syst. 2009;18(2):101–5.

Ohm M, Sykosch A, Meier M. Towards detection of software supply chain attacks by forensic artifacts. In: Proceedings of the 15th international conference on availability, reliability and security. 2020. p. 1–6.

Eggers S. A novel approach for analyzing the nuclear supply chain cyber-attack surface. Nucl Eng Technol. 2021;53(3):879–887

Kügler D. “man in the middle” attacks on bluetooth. In: International conference on financial cryptography. Springer; 2003. p. 149–161.

Shaw A. Data breach: from notification to prevention using pci dss. Colum JL Soc Probs. 2009;43:517.

Data breach investigations report 2019. https://enterprise.verizon.com/resources/reports/dbir/ . Accessed 20 Oct 2019.

Hong S. Survey on analysis and countermeasure for hacking attacks to cryptocurrency exchange. J Korea Converg Soc. 2019;10(10):1–6.

Boyd SW, Keromytis AD. Sqlrand: preventing sql injection attacks. In: International conference on applied cryptography and network security. Springer; 2004. p. 292–302.

Tong F, Yan Z. A hybrid approach of mobile malware detection in android. J Parallel Distrib Comput. 2017;103:22–31.

Shankar VG, Jangid M, Devi B, Kabra S. Mobile big data: malware and its analysis. In: Proceedings of first international conference on smart system, innovations and computing. Springer; 2018. p. 831–842.

Davi L, Dmitrienko A, Sadeghi A-R, Winandy M. Privilege escalation attacks on android. In: International conference on information security. Springer; 2010. p. 346–360.

Jovičić B, Simić D. Common web application attack types and security using asp .net. ComSIS. December. 2006.

Virvilis N, Gritzalis D. The big four-what we did wrong in advanced persistent threat detection. In: 2013 international conference on availability, reliability and security. IEEE; 2013. p. 248–254.

Sigler K. Crypto-jacking: how cyber-criminals are exploiting the crypto-currency boom. Comput Fraud Secur. 2018;2018(9):12–4.

Khraisat A, Gondal I, Vamplew P, Kamruzzaman J. Survey of intrusion detection systems: techniques, datasets and challenges. Cybersecurity. 2019;2(1):20.

Qi H, Di X, Li J. Formal definition and analysis of access control model based on role and attribute. J Inf Secur Appl. 2018;43:53–60.

Yin J. Firewall policy management, May 10 2016. US Patent 9,338,134.

Xue Y, Meng G, Liu Y, Tan TH, Chen H, Sun J, Zhang J. Auditing anti-malware tools by evolving android malware and dynamic loading technique. IEEE Trans Inf Forensics Secur. 2017;12(7):1529–44.

Hunt T, Zhu Z, Yuanzhong X, Peter S, Witchel E. Ryoan: a distributed sandbox for untrusted computation on secret data. ACM Trans Comput Syst (TOCS). 2018;35(4):1–32.

Irfan M, Abbas H, Sun Y, Sajid A, Pasha M. A framework for cloud forensics evidence collection and analysis using security information and event management. Secur Commun Netw. 2016;9(16):3790–807.

Abood OG, Guirguis SK. A survey on cryptography algorithms. Int J Sci Res Publ. 2018;8(7):410–5.

Johnson L. Computer incident response and forensics team management: conducting a successful incident response. 2013.

Brahmi I, Brahmi H, Yahia SB. A multi-agents intrusion detection system using ontology and clustering techniques. In: IFIP international conference on computer science and its applications. Springer; 2015. p. 381–393.

Qu X, Yang L, Guo K, Ma L, Sun M, Ke M, Li M. A survey on the development of self-organizing maps for unsupervised intrusion detection. Mob Netw Appl. 2019; 1–22.

Liao H-J, Richard Lin C-H, Lin Y-C, Tung K-Y. Intrusion detection system: a comprehensive review. J Netw Comput Appl. 2013;36(1):16–24.

Ammar A, Michael H, Jemal A, Moutaz A. Using feature selection for intrusion detection system. In: 2012 international symposium on communications and information technologies (ISCIT). IEEE; 2012. p. 296–301.

Viegas E, Santin AO, Franca A, Jasinski R, Pedroni VA, Oliveira LS. Towards an energy-efficient anomaly-based intrusion detection engine for embedded systems. IEEE Trans Comput. 2016;66(1):163–77.

Xin Y, Kong L, Liu Z, Chen Y, Li Y, Zhu H, Gao M, Hou H, Wang C. Machine learning and deep learning methods for cybersecurity. IEEE Access. 2018;6:35365–81.

Ragsdale DJ, Carver CA, Humphries JW, Pooch UW. Adaptation techniques for intrusion detection and intrusion response systems. In: Smc 2000 conference proceedings. 2000 IEEE international conference on systems, man and cybernetics.’cybernetics evolving to systems, humans, organizations, and their complex interactions’(cat. no. 0) vol. 4. IEEE; 2000. p. 2344–2349.

Tavallaee M, Bagheri E, Lu W, Ghorbani AA. A detailed analysis of the kdd cup 99 data set. In: 2009 IEEE symposium on computational intelligence for security and defense applications. IEEE; 2009. p. 1–6.

Moustafa N, Slay J. Unsw-nb15: a comprehensive data set for network intrusion detection systems (unsw-nb15 network data set). In: 2015 military communications and information systems conference (MilCIS). IEEE; 2015. p. 1–6.

Lippmann RP, Fried DJ, Graf I, Haines JW, Kendall KR, McClung D, Weber D, Webster SE, Wyschogrod D, Cunningham RK, et al. Evaluating intrusion detection systems: the 1998 darpa off-line intrusion detection evaluation. In: Proceedings DARPA information survivability conference and exposition. DISCEX’00, vol 2. IEEE; 2000. p. 12–26.

Caida ddos attack 2007 dataset. http://www.caida.org/data/ passive/ddos-20070804-dataset.xml/ . Accessed 20 Oct (2019).

Caida anonymized internet traces 2008 dataset. http://www.caida.org/data/passive/passive-2008-dataset.xml/ . Accessed 20 Oct 2019.

Isot botnet dataset. https://www.uvic.ca/engineering/ece/isot/ datasets/index.php/ . Accessed 20 Oct 2019.

The honeynet project. http://www.honeynet.org/chapters/france/ . Accessed 20 Oct 2019.

Canadian institute of cybersecurity, university of new brunswick, iscx dataset. http://www.unb.ca/cic/datasets/index.html/ . Accessed 20 Oct 2019.

Shiravi A, Shiravi H, Tavallaee M, Ghorbani AA. Toward developing a systematic approach to generate benchmark datasets for intrusion detection. Comput Secur. 2012;31(3):357–74.

The ctu-13 dataset. https://stratosphereips.org/category/datasets-ctu13 . Accessed 20 Oct 2019.

Cse-cic-ids2018 [online]. https://www.unb.ca/cic/ datasets/ids-2018.html/ . Accessed 20 Oct 2019.

Cic-ddos2019 [online]. https://www.unb.ca/cic/datasets/ddos-2019.html/ . Accessed 28 March 2020.

Jing X, Yan Z, Jiang X, Pedrycz W. Network traffic fusion and analysis against ddos flooding attacks with a novel reversible sketch. Inf Fusion. 2019;51:100–13.

Xie M, Hu J, Yu X, Chang E. Evaluating host-based anomaly detection systems: application of the frequency-based algorithms to adfa-ld. In: International conference on network and system security. Springer; 2015. p. 542–549.

Lindauer B, Glasser J, Rosen M, Wallnau KC, L ExactData. Generating test data for insider threat detectors. JoWUA. 2014;5(2):80–94.

Glasser J, Lindauer B. Bridging the gap: a pragmatic approach to generating insider threat data. In: 2013 IEEE security and privacy workshops. IEEE; 2013. p. 98–104.

Enronspam. https://labs-repos.iit.demokritos.gr/skel/i-config/downloads/enron-spam/ . Accessed 20 Oct 2019.

Spamassassin. http://www.spamassassin.org/publiccorpus/ . Accessed 20 Oct 2019.

Lingspam. https://labs-repos.iit.demokritos.gr/skel/i-config/downloads/lingspampublic.tar.gz/ . Accessed 20 Oct 2019.

Alexa top sites. https://aws.amazon.com/alexa-top-sites/ . Accessed 20 Oct 2019.

Bambenek consulting–master feeds. http://osint.bambenekconsulting.com/feeds/ . Accessed 20 Oct 2019.

Dgarchive. https://dgarchive.caad.fkie.fraunhofer.de/site/ . Accessed 20 Oct 2019.

Zago M, Pérez MG, Pérez GM. Umudga: a dataset for profiling algorithmically generated domain names in botnet detection. Data in Brief. 2020. p. 105400.

Zhou Y, Jiang X. Dissecting android malware: characterization and evolution. In: 2012 IEEE symposium on security and privacy. IEEE; 2012. p. 95–109.

Virusshare. http://virusshare.com/ . Accessed 20 Oct 2019.

Virustotal. https://virustotal.com/ . Accessed 20 Oct 2019.

Comodo. https://www.comodo.com/home/internet-security/updates/vdp/database.php . Accessed 20 Oct 2019.

Contagio. http://contagiodump.blogspot.com/ . Accessed 20 Oct 2019.

Kumar R, Xiaosong Z, Khan RU, Kumar J, Ahad I. Effective and explainable detection of android malware based on machine learning algorithms. In: Proceedings of the 2018 international conference on computing and artificial intelligence. ACM; 2018. p. 35–40.

Microsoft malware classification (big 2015). arXiv:1802.10135 . Accessed 20 Oct 2019.

Koroniotis N, Moustafa N, Sitnikova E, Turnbull B. Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: bot-iot dataset. Future Gener Comput Syst. 2019;100:779–96.

Wu Y, Wei D, Feng J. Network attacks detection methods based on deep learning techniques: a survey. Secur Commun Netw. 2020;2020:17.

Ferrag MA, Maglaras L, Moschoyiannis S, Janicke H. Deep learning for cyber security intrusion detection: approaches, datasets, and comparative study. J Inf Secur Appl. 2020;50:102419.

Aleesa AM, Zaidan BB, Zaidan AA, Sahar NM. Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions. Neural Comput Appl. 2020;32(14):9827–58.

Berman DS, Buczak AL, Chavis JS, Corbett CL. A survey of deep learning methods for cyber security. Information. 2019;10(4):122.

Chandrasekhar AM, Raghuveer K. Confederation of fcm clustering, ann and svm techniques to implement hybrid nids using corrected kdd cup 99 dataset. In: 2014 international conference on communication and signal processing. IEEE; 2014. p. 672–676.

Sharifi AM, Amirgholipour SK, Pourebrahimi A. Intrusion detection based on joint of k-means and knn. J Converg Inf Technol. 2015;10(5):42.

Wei-Chao L, Shih-Wen K, Chih-Fong T. Cann: an intrusion detection system based on combining cluster centers and nearest neighbors. Knowl Based Syst. 2015;78:13–21.

Tajbakhsh A, Rahmati M, Mirzaei A. Intrusion detection using fuzzy association rules. Appl Soft Comput. 2009;9(2):462–9.

Mitchell R, Chen R. Behavior rule specification-based intrusion detection for safety critical medical cyber physical systems. IEEE Trans Dependable Secur Comput. 2014;12(1):16–30.

Kotpalliwar MV, Wajgi R. Classification of attacks using support vector machine (svm) on kddcup’99 ids database. In: 2015 fifth international conference on communication systems and network technologies. IEEE; 2015. p. 987–990.

Pervez MS, Farid DM. Feature selection and intrusion classification in nsl-kdd cup 99 dataset employing svms. In: The 8th international conference on software, knowledge, information management and applications (SKIMA 2014). IEEE; 2014. p. 1–6.

Yan M, Liu Z. A new method of transductive svm-based network intrusion detection. In: International conference on computer and computing technologies in agriculture. Springer; 2010. p. 87–95.

Li Y, Xia J, Zhang S, Yan J, Ai X, Dai K. An efficient intrusion detection system based on support vector machines and gradually feature removal method. Expert Syst Appl. 2012;39(1):424–30.

Raman MRG, Somu N, Jagarapu S, Manghnani T, Selvam T, Krithivasan K, Sriram VSS. An efficient intrusion detection technique based on support vector machine and improved binary gravitational search algorithm. Artif Intell Rev. 2020;53:3255–3286.

Kokila RT, Thamarai Selvi S, Govindarajan K. Ddos detection and analysis in sdn-based environment using support vector machine classifier. In: 2014 sixth international conference on advanced computing (ICoAC). IEEE; 2014. p. 205–210.

Xie M, Hu J, Slay J. Evaluating host-based anomaly detection systems: application of the one-class svm algorithm to adfa-ld. In: 2014 11th international conference on fuzzy systems and knowledge discovery (FSKD). IEEE; 2014. p. 978–982.

Saxena H, Richariya V. Intrusion detection in kdd99 dataset using svm-pso and feature reduction with information gain. Int J Comput Appl. 2014;98(6).25–29.

Shapoorifard H, Shamsinejad P. Intrusion detection using a novel hybrid method incorporating an improved knn. Int J Comput Appl. 2017;173(1):5–9.

Vishwakarma S, Sharma V, Tiwari A. An intrusion detection system using knn-aco algorithm. Int J Comput Appl. 2017;171(10):18–23.

Meng W, Li W, Kwok L-F. Design of intelligent knn-based alarm filter using knowledge-based alert verification in intrusion detection. Secur Commun Netw. 2015;8(18):3883–95.

Dada EG. A hybridized svm-knn-pdapso approach to intrusion detection system. In: Proceedings of Facility Seminar Ser. 2017. p. 14–21.

Koc L, Mazzuchi TA, Sarkani S. A network intrusion detection system based on a hidden Naïve Bayes multiclass classifier. Expert Syst Appl. 2012;39(18):13492–500.

Moon D, Im H, Kim I, Park JH. Dtb-ids: an intrusion detection system based on decision tree using behavior analysis for preventing apt attacks. J Supercomput. 2017;73(7):2881–95.

Ingre B, Yadav A, Soni AK. Decision tree based intrusion detection system for nsl-kdd dataset. In: International conference on information and communication technology for intelligent systems. Springer; 2017. p. 207–218.

Malik AJ, Khan FA. A hybrid technique using binary particle swarm optimization and decision tree pruning for network intrusion detection. Cluster Comput. 2018;21(1):667–80.

Relan NG, Patil DR. Implementation of network intrusion detection system using variant of decision tree algorithm. In: 2015 international conference on nascent technologies in the engineering field (ICNTE). IEEE; 2015. p. 1–5.

Rai K, Syamala Devi M, Guleria A. Decision tree based algorithm for intrusion detection. Int J Adv Netw Appl. 2016;7(4):2828.

Sarker IH, Abushark YB, Alsolami F, Khan AI. Intrudtree: a machine learning based cyber security intrusion detection model. Symmetry. 2020;12(5):754.

Puthran S, Shah K. Intrusion detection using improved decision tree algorithm with binary and quad split. In: International symposium on security in computing and communication. Springer; 2016. p. 427–438.

Balogun AO, Jimoh RG. Anomaly intrusion detection using an hybrid of decision tree and k-nearest neighbor. In: A Multidisciplinary Journal Publication of the Faculty of Science, Adeleke University, Ede, Nigeria, 2015; vol 2.

Jo S, Sung H, Ahn B. A comparative study on the performance of intrusion detection using decision tree and artificial neural network models. J Korea Soc Digit Ind Inf Manag. 2015;11(4):33–45.

Zhang J, Zulkernine M, Haque A. Random-forests-based network intrusion detection systems. IEEE Trans Syst Man Cybern Part C (Appl Rev). 2008;38(5):649–59.

Yuan Y, Kaklamanos G, Hogrefe D. A novel semi-supervised adaboost technique for network anomaly detection. In: Proceedings of the 19th ACM international conference on modeling, analysis and simulation of wireless and mobile systems. ACM; 2016. p. 111–114.

Alrawashdeh K, Purdy C. Toward an online anomaly intrusion detection system based on deep learning. In: 2016 15th IEEE international conference on machine learning and applications (ICMLA). IEEE; 2016. p. 195–200.

Yin C, Zhu Y, Fei J, He X. A deep learning approach for intrusion detection using recurrent neural networks. IEEE Access. 2017;5:21954–61.

Kim J, Kim J, Thi Thu HL, Kim H. Long short term memory recurrent neural network classifier for intrusion detection. In: 2016 international conference on platform technology and service (PlatCon). IEEE; 2016. p. 1–5.

Almiani M, AbuGhazleh A, Al-Rahayfeh A, Atiewi S, Razaque A. Deep recurrent neural network for iot intrusion detection system. Simul Model Pract Theory. 2019;101:102031.

Kolosnjaji B, Zarras A, Webster G, Eckert C. Deep learning for classification of malware system call sequences. In: Australasian joint conference on artificial intelligence. Springer; 2016. p. 137–149.

Wang W, Zhu M, Zeng X, Ye X, Sheng Y. Malware traffic classification using convolutional neural network for representation learning. In: 2017 international conference on information networking (ICOIN). IEEE; 2017. p. 712–717.

Hansen JV, Lowry PB, Meservy RD, McDonald DM. Genetic programming for prevention of cyberterrorism through dynamic and evolving intrusion detection. Decis Support Syst. 2007;43(4):1362–74.

Aslahi-Shahri BM, Rahmani R, Chizari M, Maralani A, Eslami M, Golkar MJ, Ebrahimi A. A hybrid method consisting of GA and SVM for intrusion detection system. Neural Comput Appl. 2016;27(6):1669–76.

Azad C, Jha VK. Genetic algorithm to solve the problem of small disjunct in the decision tree based intrusion detection system. Int J Comput Netw Inf Secur (IJCNIS). 2015;7(8):56.

Ariu D, Tronci R, Giacinto G. Hmmpayl: an intrusion detection system based on hidden Markov models. Comput Secur. 2011;30(4):221–41.

Årnes A, Valeur F, Vigna G, Kemmerer RA. Using hidden markov models to evaluate the risks of intrusions. In: International workshop on recent advances in intrusion detection. Springer; 2006. p. 145–164.

Alauthman M, Aslam N, Al-kasassbeh M, Khan S, Al-Qerem A, Choo K-KR. An efficient reinforcement learning-based botnet detection approach. J Netw Comput Appl. 2020;150:102479.

Blanco R, Cilla JJ, Briongos S, Malagón P, Moya JM. Applying cost-sensitive classifiers with reinforcement learning to ids. In: International conference on intelligent data engineering and automated learning. Springer; 2018. p. 531–538.

Lopez-Martin M, Carro B, Sanchez-Esguevillas A. Application of deep reinforcement learning to intrusion detection for supervised problems. Expert Syst Appl. 2020;141:112963.

Sarker IH. Machine learning: Algorithms, real-world applications and research directions. Preprints. 2021; 2021030216:1–23.

Sarker IH, Kayes ASM, Watters P. Effectiveness analysis of machine learning classification models for predicting personalized context-aware smartphone usage. J Big Data. 2019;6(1):1–28.

John GH, Langley P. Estimating continuous distributions in Bayesian classifiers. In: Proceedings of the eleventh conference on uncertainty in artificial intelligence. Morgan Kaufmann Publishers Inc.; 1995. p. 338–345.

Quinlan JR. C4.5: Programs for machine learning. Mach Learn. 2014.

Sarker IH, Colman A, Han J, Khan AI, Abushark YB, Salah K. Behavdt: a behavioral decision tree learning to build user-centric context-aware predictive model. Mob Netw Appl. 2020;25:1151–1161.

Aha DW, Kibler D, Albert MK. Instance-based learning algorithms. Mach Learn. 1991;6(1):37–66.

Keerthi SS, Shevade SK, Bhattacharyya C, Krishna Murthy KR. Improvements to platt’s smo algorithm for svm classifier design. Neural Comput. 2001;13(3):637–49.

Freund Y, Schapire RE, et al. Experiments with a new boosting algorithm. In: Icml, vol. 96. Citeseer; 1996. p. 148–156.

Le Cessie S, Van Houwelingen JC. Ridge estimators in logistic regression. J R Stat Soc Ser C (Appl Stat). 1992;41(1):191–201.

Han J, Pei J, Kamber M. Data mining: concepts and techniques. 2011.

Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, Blondel M, Prettenhofer P, Weiss R, Dubourg V, et al. Scikit-learn: machine learning in python. J Mach Learn Res. 2011;12:2825–30.

Breiman L. Random forests. Mach Learn. 2001;45(1):5–32.

MacQueen J. Some methods for classification and analysis of multivariate observations. In: Fifth Berkeley symposium on mathematical statistics and probability, vol. 1. 1967.

Rokach L. A survey of clustering algorithms. In: Data mining and knowledge discovery handbook. Springer; 2010. p. 269–298.

Kaufman L, Rousseeuw PJ. Finding groups in data: an introduction to cluster analysis, vol. 344. New York: Wiley; 2009.

Ester M, Kriegel H-P, Sander J, Xiaowei X, et al. A density-based algorithm for discovering clusters in large spatial databases with noise. Kdd. 1996;96:226–31.

Sneath PHA. The application of computers to taxonomy. J Gen Microbiol. 1957;17(1):201–26.

Sorensen T. Method of establishing groups of equal amplitude in plant sociology based on similarity of species. Biol Skr. 1948;5:1–34.

Sarker IH, Colman A, Kabir MA, Han J. Individualized time-series segmentation for mining mobile phone user behavior. Comput J. 2018;61(3):349–68.

Agrawal R, Imieliński T, Swami A. Mining association rules between sets of items in large databases. In: ACM SIGMOD Record, vol. 22. ACM; 1993. p. 207–216.

Agrawal R, Srikant R, et al. Fast algorithms for mining association rules. In: Proceedings of 20th international conference very large data bases, VLDB, vol. 1215. 1994. p. 487–499.

Han J, Pei J, Yin Y. Mining frequent patterns without candidate generation. In: ACM Sigmod Record, vol. 29. ACM; 2000. p. 1–12.

Das A, Ng W-K, Woon Y-K. Rapid association rule mining. In: Proceedings of the tenth international conference on Information and knowledge management. ACM; 2001. p. 474–481.

Zaki MJ. Scalable algorithms for association mining. IEEE Trans Knowl Data Eng. 2000;12(3):372–90.

Sarker IH, Kayes ASM. Abc-ruleminer: user behavioral rule-based machine learning method for context-aware intelligent services. J Netw Comput Appl. 2020;168:102762.

Sarker IH, Abushark YB, Khan AI. Contextpca: predicting context-aware smartphone apps usage based on machine learning techniques. Symmetry. 2020;12(4):499.

Van Efferen L, Ali-Eldin AMT. A multi-layer perceptron approach for flow-based anomaly detection. In: 2017 international symposium on networks, computers and communications (ISNCC). IEEE; 2017. p. 1–6.

Liu H, Lang B, Liu M, Yan H. Cnn and rnn based payload classification methods for attack detection. Knowl Based Syst. 2019;163:332–41.

Khan FA, Gumaei A, Derhab A, Hussain A. A novel two-stage deep learning model for efficient network intrusion detection. IEEE Access. 2019;7:30373–85.

Kaelbling LP, Littman ML, Moore AW. Reinforcement learning: a survey. J Artif Intell Res. 1996;4:237–85.

Sarker IH. Deep cybersecurity: A comprehensive overview from neural network and deep learning perspective. Preprints. 2021; 2021020340:1–18.

Sarker IH, Hoque MM, Uddin K et al. Mobile data science and intelligent apps: concepts, ai-based modeling and research directions. Mob Netw Appl. 2020;1–19.

Kidmose E, Stevanovic M, Pedersen JM. Detection of malicious domains through lexical analysis. In: 2018 international conference on cyber security and protection of digital services (cyber security). IEEE; 2018. p. 1–5.

Perera I, Hwang J, Bayas K, Dorr B, Wilks Y. Cyberattack prediction through public text analysis and mini-theories. In: 2018 IEEE international conference on big data (big data). IEEE; 2018. p. 3001–3010.

L’Huillier G, Hevia A, Weber R, Rios S. Latent semantic analysis and keyword extraction for phishing classification. In: 2010 IEEE international conference on intelligence and security informatics. IEEE; 2010. p. 129–131.

Georgescu T-M, Iancu B, Zurini M. Named-entity-recognition-based automated system for diagnosing cybersecurity situations in iot networks. Sensors. 2019;19(15):3380.

Sun S, Luo C, Chen J. A review of natural language processing techniques for opinion mining systems. Inf Fusion. 2017;36:10–25.

Mokhov SA, Paquet J, Debbabi M. The use of nlp techniques in static code analysis to detect weaknesses and vulnerabilities. In: Canadian conference on artificial intelligence. Springer; 2014. p. 326–332.

Egozi G, Verma R. Phishing email detection using robust nlp techniques. In: 2018 IEEE international conference on data mining workshops (ICDMW). IEEE; 2018. p. 7–12.

Karbab EB, Debbabi M. Maldy: portable, data-driven malware detection using natural language processing and machine learning techniques on behavioral analysis reports. Digit Investig. 2019;28:S77–87.

Stephan G, Pascal H, Andreas A. Knowledge representation and ontologies. Semantic web services: concepts, technologies, and applications. 2007. p. 51–105.

Maedche A, Staab S. Ontology learning for the semantic web. IEEE Intell Syst. 2001;16(2):72–9.

Pereira T, Santos H. An ontology based approach to information security. In: Research conference on metadata and semantic research. Springer; 2009. p. 183–192.

McGuinness DL, Van Harmelen F, et al. Owl web ontology language overview. W3C Recomm. 2004;10(10):2004.

Witten IH, Frank E. Data mining: practical machine learning tools and techniques. Burlington: Morgan Kaufmann; 2005.

Witten IH, Frank E, Trigg LE, Hall MA, Holmes G, Cunningham SJ. Weka: practical machine learning tools and techniques with java implementations. 1999.

Zadeh LA. Fuzzy logic—a personal perspective. Fuzzy Sets Syst. 2015;281:4–20.

Sarker IH. A machine learning based robust prediction model for real-life mobile phone data. Internet Things. 2019;5:180–93.

Sarker IH. Context-aware rule learning from smartphone data: survey, challenges and future directions. J Big Data. 2019;6(1):95.

Sarker IH, Colman A, Han J. Recencyminer: mining recency-based personalized behavior from contextual smartphone data. J Big Data. 2019;6(1):49.

Download references

Author information

Authors and affiliations.

Swinburne University of Technology, Melbourne, VIC, 3122, Australia

Iqbal H. Sarker

Department of Computer Science and Engineering, Chittagong University of Engineering & Technology, Chittagong, 4349, Bangladesh

Centre for Cyber Security and Games, Canberra Institute of Technology, Reid, ACT, 2601, Australia

Md Hasan Furhad

Victoria University, Footscray, VIC, 3011, Australia

Raza Nowrozy

You can also search for this author in PubMed   Google Scholar

Contributions

The authors present a comprehensive view on “AI-driven Cybersecurity” that can play an important role for intelligent cybersecurity services and management [IHS—conceptualization, research design, and prepare the original manuscript]. All the authors read and approved the final manuscript.

Corresponding author

Correspondence to Iqbal H. Sarker .

Ethics declarations

Conflict of interest.

The authors declare no conflict of interest.

Additional information

Publisher's note.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is part of the topical collection “Cyber Security and Privacy in Communication Networks” guest edited by Rajiv Misra, R K Shyamsunder, Alexiei Dingli, Natalie Denk, Omer Rana, Alexander Pfeiffer, Ashok Patel and Nishtha Kesswani.

Rights and permissions

Reprints and permissions

About this article

Sarker, I.H., Furhad, M.H. & Nowrozy, R. AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions. SN COMPUT. SCI. 2 , 173 (2021). https://doi.org/10.1007/s42979-021-00557-0

Download citation

Received : 22 November 2020

Accepted : 02 March 2021

Published : 26 March 2021

DOI : https://doi.org/10.1007/s42979-021-00557-0

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

  • Cybersecurity
  • Artificial intelligence
  • Machine learning
  • Cyber data analytics
  • Cyber-attacks
  • Intrusion detection
  • Security intelligence
  • Find a journal
  • Publish with us
  • Track your research

Not Having Job Flexibility or Security Can Leave Workers Feeling Depressed, Anxious, and Hopeless

New research from BU public health expert finds greater work security lowered risk of mental health challenges and reduced number of absences

research topics in security management

Photo via iStock/Overearth

Monica L. Wang

When employees don’t have control over their work schedules, it’s not just morale that suffers—mental health takes a hit too. That’s what my colleagues and I discovered in a study recently published in the medical journal JAMA Network Open .

As a public health expert , I know that the way our jobs are designed can affect our well-being. Research has shown that flexibility, security, and autonomy in the workplace are strong determinants of health .

To understand how powerful they are, my colleagues and I looked at the 2021 National Health Interview Survey , a major data collection initiative run out of the National Center for Health Statistics . We analyzed responses from 18,144 working adults across the US, teasing out how job flexibility and security may be linked with mental health.

The respondents were asked how easily they could change their work schedule to do things important to them or their family, whether their work schedule changed on a regular basis, and how far in advance they usually knew their schedules. They also rated their perceived risk of losing their job in the next 12 months.

We found that workers who had more flexible work arrangements were less likely to report feelings of depression, hopelessness, and anxiety. Similarly, those with greater job security were at lower risk of mental health challenges. We also found that higher job security was linked with fewer instances of missing work over the past year.

Why It Matters

The average full-time worker dedicates a third of their lifetime waking hours to work. Given that fact, understanding how job design affects mental health is key to developing policies that bolster well-being.

It’s clear why employers should care: When workers aren’t feeling well mentally, they’re less productive and more likely to miss work . Their creativity , collaboration , and ability to meet job demands also suffer, hurting the entire organization.

The impact of job-related stress extends beyond the workplace, affecting families, communities, and healthcare systems. People grappling with work-related mental health challenges often require multiple forms of support , such as access to counseling, medication, and social services. Not addressing these needs comprehensively can cause serious long-term consequences , including reduced quality of life and increased healthcare costs.

It’s important to note that the COVID-19 pandemic worsened mental health disparities , and that individuals in lower-wage positions, frontline workers, and people in marginalized communities continue to face additional challenges . In this context, understanding exactly how job and work design can affect people’s mental health is all the more important.

What’s Next?

My research team plans to examine how race and gender affect the links between job flexibility, job security, and mental health.

Previous research suggests that women and people of color experience unique workplace stressors that harm their mental well-being. For instance, women continue to face barriers to career advancement , unequal pay , and a higher burden of unpaid care work.

Similarly, employees of color often experience discrimination , microaggressions , and limited opportunities for professional growth at work, all of which can harm mental health . Understanding gender and racial differences will help researchers and organizations develop targeted interventions and policy recommendations.

Mental health challenges are far from rare: more than 50 million Americans, or nearly 1 in 5 adults , live with mental illness. By creating workplaces that prioritize employee well-being —through flexible work arrangements, supportive policies, and access to mental health resources—organizations can help build a healthier society.

This article is republished from The Conversation under a Creative Commons license. Read the original article .

Monica L. Wang is a Boston University School of Public Health associate professor of community health sciences. She is an expert in science communication and health misinformation and has served as a consultant to one of the largest social media companies in the world on COVID-19 health misinformation management. Her work and insights have been featured in the New York Times, the Washington Post , National Public Radio, the Boston Globe , and CBS.

“Expert Take”  is a research-led opinion page that provides commentaries from BU researchers on a variety of issues—local, national, or international—related to their work. Anyone interested in submitting a piece should contact  [email protected] .  The Brink  reserves the right to reject or edit submissions. The views expressed are solely those of the author and are not intended to represent the views of Boston University.

Explore Related Topics:

  • Public Health
  • Share this story
  • 0 Comments Add

Monica L. Wang Profile

Comments & Discussion

Boston University moderates comments to facilitate an informed, substantive, civil conversation. Abusive, profane, self-promotional, misleading, incoherent or off-topic comments will be rejected. Moderators are staffed during regular business hours (EST) and can only accept comments written in English. Statistics or facts must include a citation or a link to the citation.

Post a comment. Cancel reply

Your email address will not be published. Required fields are marked *

Latest from The Brink

Can the bias in algorithms help us see our own, do immigrants and immigration help the economy, how do people carry such heavy loads on their heads, do alcohol ads promote underage drinking, how worried should we be about us measles outbreaks, stunning new image shows black hole’s immensely powerful magnetic field, it’s not just a pharmacy—walgreens and cvs closures can exacerbate health inequities, how does science misinformation affect americans from underrepresented communities, what causes osteoarthritis bu researchers win $46 million grant to pursue answers and find new treatments, how to be a better mentor, how the design of hospitals impacts patient treatment and recovery, all americans deserve a healthy diet. here’s one way to help make that happen, bu cte center: lewiston, maine, mass shooter had traumatic brain injury, can cleaner classroom air help kids do better at school, carb-x funds 100th project—a milestone for bu-based nonprofit leading antimicrobial-resistance fightback, is covid-19 still a pandemic, what is language and how does it evolve, the ingredients of unequal aging: housing, income, and health, 10 things to do in your 20s to help ensure you’ll enjoy your 80s.

Suggestions or feedback?

MIT News | Massachusetts Institute of Technology

  • Machine learning
  • Social justice
  • Black holes
  • Classes and programs

Departments

  • Aeronautics and Astronautics
  • Brain and Cognitive Sciences
  • Architecture
  • Political Science
  • Mechanical Engineering

Centers, Labs, & Programs

  • Abdul Latif Jameel Poverty Action Lab (J-PAL)
  • Picower Institute for Learning and Memory
  • Lincoln Laboratory
  • School of Architecture + Planning
  • School of Engineering
  • School of Humanities, Arts, and Social Sciences
  • Sloan School of Management
  • School of Science
  • MIT Schwarzman College of Computing

A new way to detect radiation involving cheap ceramics

Press contact :.

Jennifer Rupp, Thomas Defferriere, Harry Tuller, and Ju Li pose standing in a lab, with a nuclear radiation warning sign in the background

Previous image Next image

The radiation detectors used today for applications like inspecting cargo ships for smuggled nuclear materials are expensive and cannot operate in harsh environments, among other disadvantages. Now, in work funded largely by the U.S. Department of Homeland Security with early support from the U.S. Department of Energy, MIT engineers have demonstrated a fundamentally new way to detect radiation that could allow much cheaper detectors and a plethora of new applications.

They are working with Radiation Monitoring Devices , a company in Watertown, Massachusetts, to transfer the research as quickly as possible into detector products.

In a 2022 paper in Nature Materials , many of the same engineers reported for the first time how ultraviolet light can significantly improve the performance of fuel cells and other devices based on the movement of charged atoms, rather than those atoms’ constituent electrons.

In the current work, published recently in Advanced Materials , the team shows that the same concept can be extended to a new application: the detection of gamma rays emitted by the radioactive decay of nuclear materials.

“Our approach involves materials and mechanisms very different than those in presently used detectors, with potentially enormous benefits in terms of reduced cost, ability to operate under harsh conditions, and simplified processing,” says Harry L. Tuller, the R.P. Simmons Professor of Ceramics and Electronic Materials in MIT’s Department of Materials Science and Engineering (DMSE).

Tuller leads the work with key collaborators Jennifer L. M. Rupp, a former associate professor of materials science and engineering at MIT who is now a professor of electrochemical materials at Technical University Munich in Germany, and Ju Li, the Battelle Energy Alliance Professor in Nuclear Engineering and a professor of materials science and engineering. All are also affiliated with MIT’s Materials Research Laboratory

“After learning the Nature Materials work, I realized the same underlying principle should work for gamma-ray detection — in fact, may work even better than [UV] light because gamma rays are more penetrating — and proposed some experiments to Harry and Jennifer,” says Li.

Says Rupp, “Employing shorter-range gamma rays enable [us] to extend the opto-ionic to a radio-ionic effect by modulating ionic carriers and defects at material interfaces by photogenerated electronic ones.”

Other authors of the Advanced Materials paper are first author Thomas Defferriere, a DMSE postdoc, and Ahmed Sami Helal, a postdoc in MIT’s Department of Nuclear Science and Engineering.

Modifying barriers

Charge can be carried through a material in different ways. We are most familiar with the charge that is carried by the electrons that help make up an atom. Common applications include solar cells. But there are many devices — like fuel cells and lithium batteries — that depend on the motion of the charged atoms, or ions, themselves rather than just their electrons.

The materials behind applications based on the movement of ions, known as solid electrolytes, are ceramics. Ceramics, in turn, are composed of tiny crystallite grains that are compacted and fired at high temperatures to form a dense structure. The problem is that ions traveling through the material are often stymied at the boundaries between the grains.

In their 2022 paper, the MIT team showed that ultraviolet (UV) light shone on a solid electrolyte essentially causes electronic perturbations at the grain boundaries that ultimately lower the barrier that ions encounter at those boundaries. The result: “We were able to enhance the flow of the ions by a factor of three,” says Tuller, making for a much more efficient system.

Vast potential

At the time, the team was excited about the potential of applying what they’d found to different systems. In the 2022 work, the team used UV light, which is quickly absorbed very near the surface of a material. As a result, that specific technique is only effective in thin films of materials. (Fortunately, many applications of solid electrolytes involve thin films.)

Light can be thought of as particles — photons — with different wavelengths and energies. These range from very low-energy radio waves to the very high-energy gamma rays emitted by the radioactive decay of nuclear materials. Visible light — and UV light — are of intermediate energies, and fit between the two extremes.

The MIT technique reported in 2022 worked with UV light. Would it work with other wavelengths of light, potentially opening up new applications? Yes, the team found. In the current paper they show that gamma rays also modify the grain boundaries resulting in a faster flow of ions that, in turn, can be easily detected. And because the high-energy gamma rays penetrate much more deeply than UV light, “this extends the work to inexpensive bulk ceramics in addition to thin films,” says Tuller. It also allows a new application: an alternative approach to detecting nuclear materials.

Today’s state-of-the-art radiation detectors depend on a completely different mechanism than the one identified in the MIT work. They rely on signals derived from electrons and their counterparts, holes, rather than ions. But these electronic charge carriers must move comparatively great distances to the electrodes that “capture” them to create a signal. And along the way, they can be easily lost as they, for example, hit imperfections in a material. That’s why today’s detectors are made with extremely pure single crystals of material that allow an unimpeded path. They can be made with only certain materials and are difficult to process, making them expensive and hard to scale into large devices.

Using imperfections

In contrast, the new technique works because of the imperfections — grains — in the material. “The difference is that we rely on ionic currents being modulated at grain boundaries versus the state-of-the-art that relies on collecting electronic carriers from long distances,” Defferriere says.

Says Rupp, “It is remarkable that the bulk ‘grains’ of the ceramic materials tested revealed high stabilities of the chemistry and structure towards gamma rays, and solely the grain boundary regions reacted in charge redistribution of majority and minority carriers and defects.”

Comments Li, “This radiation-ionic effect is distinct from the conventional mechanisms for radiation detection where electrons or photons are collected. Here, the ionic current is being collected.”

Igor Lubomirsky, a professor in the Department of Materials and Interfaces at the Weizmann Institute of Science, Israel, who was not involved in the current work, says, “I found the approach followed by the MIT group in utilizing polycrystalline oxygen ion conductors very fruitful given the [materials’] promise for providing reliable operation under irradiation under the harsh conditions expected in nuclear reactors where such detectors often suffer from fatigue and aging. [They also] benefit from much-reduced fabrication costs.”

As a result, the MIT engineers are hopeful that their work could result in new, less expensive detectors. For example, they envision trucks loaded with cargo from container ships driving through a structure that has detectors on both sides as they leave a port. “Ideally, you’d have either an array of detectors or a very large detector, and that’s where [today’s detectors] really don’t scale very well,” Tuller says.

Another potential application involves accessing geothermal energy, or the extreme heat below our feet that is being explored as a carbon-free alternative to fossil fuels. Ceramic sensors at the ends of drill bits could detect pockets of heat — radiation — to drill toward. Ceramics can easily withstand extreme temperatures of more than 800 degrees Fahrenheit and the extreme pressures found deep below the Earth’s surface.

The team is excited about additional applications for their work. “This was a demonstration of principle with just one material,” says Tuller, “but there are thousands of other materials good at conducting ions.”

Concludes Defferriere: “It’s the start of a journey on the development of the technology, so there’s a lot to do and a lot to discover.”

This work is currently supported by the U.S. Department of Homeland Security, Countering Weapons of Mass Destruction Office. This support does not constitute an express or implied endorsement on the part of the government. It was also funded by the U.S. Defense Threat Reduction Agency.

Share this news article on:

Related links.

  • Harry Tuller
  • Tuller Research Group
  • Materials Research Laboratory

Related Topics

  • Nuclear security and policy
  • Materials science and engineering
  • Nuclear science and engineering
  • Department of Energy (DoE)

Related Articles

Harry Tuller and student pose for a photo in a lab, with a computer screen on a table between them showing data

A simple way to significantly increase lifetimes of fuel cells and other devices

Harry L. Tuller sits in a chair in front of a bookcase in his office at MIT.

Harry Tuller honored for career advancing solid-state chemistry and electrochemistry

Photo of two smiling men standing at a lab bench covered with electronic equipment

Light could boost performance of fuel cells, lithium batteries, and other devices

Previous item Next item

More MIT News

Headshot of a woman in a colorful striped dress.

A biomedical engineer pivots from human movement to women’s health

Read full story →

Closeup of someone’s hands holding a stack of U.S. patents. The top page reads “United States of America “ and “Patent” in gold lettering, among other smaller text. They are next to a window that looks down on a city street.

MIT tops among single-campus universities in US patents granted

Photo of the facade of the MIT Schwarzman College of Computing building, which features a shingled glass exterior that reflects its surroundings

A crossroads for computing at MIT

Hammaad Adam poses in front of a window. A brick building with large windows is behind him.

Growing our donated organ supply

Two hands inspect a lung X-ray. One hand is illustrated with nodes and lines creating a neural network. The other is a doctor’s hand. Four “alert” icons appear on the lung X-ray.

New AI method captures uncertainty in medical images

A lab researcher looking through a microscope with human cells in the background

Improving drug development with a vast map of the immune system

  • More news on MIT News homepage →

Massachusetts Institute of Technology 77 Massachusetts Avenue, Cambridge, MA, USA

  • Map (opens in new window)
  • Events (opens in new window)
  • People (opens in new window)
  • Careers (opens in new window)
  • Accessibility
  • Social Media Hub
  • MIT on Facebook
  • MIT on YouTube
  • MIT on Instagram

Cart

  • SUGGESTED TOPICS
  • The Magazine
  • Newsletters
  • Managing Yourself
  • Managing Teams
  • Work-life Balance
  • The Big Idea
  • Data & Visuals
  • Reading Lists
  • Case Selections
  • HBR Learning
  • Topic Feeds
  • Account Settings
  • Email Preferences

4 Reasons Why Managers Fail

  • Swagatam Basu,
  • Atrijit Das,
  • Vitorio Bretas,
  • Jonah Shepp

research topics in security management

Nearly half of all managers report buckling under the stress of their role and struggling to deliver.

Gartner research has found that managers today are accountable for 51% more responsibilities than they can effectively manage — and they’re starting to buckle under the pressure: 54% are suffering from work-induced stress and fatigue, and 44% are struggling to provide personalized support to their direct reports. Ultimately, one in five managers said they would prefer not being people managers given a choice. Further analysis found that 48% of managers are at risk of failure based on two criteria: 1) inconsistency in current performance and 2) lack of confidence in the manager’s ability to lead the team to future success. This article offers four predictors of manager failure and offers suggestions for organizations on how to address them.

The job of the manager has become unmanageable. Organizations are becoming flatter every year. The average manager’s number of direct reports has increased by 2.8 times over the last six years, according to Gartner research. In the past few years alone, many managers have had to make a series of pivots — from moving to remote work to overseeing hybrid teams to implementing return-to-office mandates.

research topics in security management

  • Swagatam Basu is senior director of research in the Gartner HR practice and has spent nearly a decade researching leader and manager effectiveness. His work spans additional HR topics including learning and development, employee experience and recruiting. Swagatam specializes in research involving extensive quantitative analysis, structured and unstructured data mining and predictive modeling.
  • Atrijit Das is a senior specialist, quantitative analytics and data science, in the Gartner HR practice. He drives data-based research that produces actionable insights on core HR topics including performance management, learning and development, and change management.
  • Vitorio Bretas is a director in the Gartner HR practice, supporting HR executives in the execution of their most critical business strategies. He focuses primarily on leader and manager effectiveness and recruiting. Vitorio helps organizations get the most from their talent acquisition and leader effectiveness initiatives.
  • Jonah Shepp is a senior principal, research in the Gartner HR practice. He edits the Gartner  HR Leaders Monthly  journal, covering HR best practices on topics ranging from talent acquisition and leadership to total rewards and the future of work. An accomplished writer and editor, his work has appeared in numerous publications, including  New York   Magazine ,  Politico   Magazine ,  GQ , and  Slate .

Partner Center

UCF Graduate Programs Reach New Heights in U.S. News Rankings Through Research Excellence, Impactful Community Engagement

UCF’s emergency management program ranks No. 1 in the nation, and programs in education and public affairs climbed in U.S. News & World Report ’s Best Graduate Schools rankings.

By Mark Schlueb ’93 ’21MA | April 9, 2024

A man wearing a suit stand by a laptop with a stick that says UCF

UCF is a leading metropolitan research university known for helping students unleash their potential and advancing innovation in our community and state. Led by world-class faculty members with unrivaled industry experience, UCF’s graduate programs continue to earn top national recognitions for accomplishing those goals and more.

More than 9,000 UCF students enroll in UCF’s graduate programs to advance their careers or launch new ones. And many are thriving on campus and after graduation in programs ranked among the best in the nation.

U.S. News & World Report has recognized UCF’s exceptional faculty and graduate programs in its 2024 list of Best Graduate Schools. UCF’s emergency management program ranks No. 1 in the nation, and four programs rank in the top 25. Nine graduate programs placed in the top 50 nationally, including five in public affairs, three in education and one in health. U.S. News will release rankings for the engineering and medicine categories at a later date.

“UCF’s world-class faculty excel at providing our graduate students with the knowledge and skills they need to thrive as innovative leaders and creators,” says President Alexander N. Cartwright. “The U.S. News rankings demonstrate that our students graduate well-prepared to unleash their potential in individual, business, and government sectors that are growing in Florida and vital to our economy, health, and quality of life.”

research topics in security management

UCF Grads Shape Emergency Responses Nationwide

UCF has a proven track record in emergency management. The university’s Master of Emergency and Crisis Management program — which is offered the College of Community Innovation and Education — has climbed the rankings over seven consecutive years. The homeland security program and its faculty researchers enable students to navigate increasingly complex manmade and natural disasters, while learning from past disasters to improve their preparedness and response in the future.

Graduates of the program go on to become leaders in directing and implementing emergency responses in Florida and throughout the country, including in Boston and Washington, D.C. They are saving lives, helping communities prepare as well as possible to navigate disasters, and putting into practice the lessons they learned from outstanding faculty who contribute to  national research and regional solutions related to crises .

“Our students are equipped to assist communities and organizations in every phase of emergency management — from preparedness and mitigation to response and recovery,” says  Claire Connolly Knox, professor in UCF’s School of Public Administration.

“We are thrilled to be ranked No. 1 and nationally recognized again as a leader in emergency and crisis management,” she adds. “This honor highlights the innovative and community-focused research by our faculty and continuous engagement with community partners invested in our outstanding students and alumni.”

Other highlights include:

  • 12 in Education — Student Counseling and Personnel Services
  • 15 in Public Affairs — Nonprofit Management, up three spots since last year
  • 21 in Public Affairs — Public Management and Leadership, up five spots since last year
  • 27 in Public Affairs — Public Finance and Budgeting
  • 32 in Education — Curriculum and Instruction
  • 41 in Health — Physical Therapy
  • 42 in Best Education Schools, up four spots since last year
  • 47 in Public Affairs
  • 59 in Nursing — Doctor of Nursing Practice

UCF’s many strong rankings are a testament to the excellence of UCF’s faculty, who bring to the classroom extensive experience in academia, industry and research, as well as to the university’s commitment to help students unleash their potential in a culture focused on collaboration and finding solutions that benefit our society.

UCF students who have graduated from the nonprofit management program have gone on to make a big impact by helping communities in Florida and beyond. In one example, more than 12 years ago, program graduate Eric Camarillo ’16 ’19MNM launched faith-based nonprofit organization SALT Outreach Inc. in Central Florida to help provide services to the homeless, including mobile shower trailers, laundry, clothing, haircuts, mail services and help with employment. SALT has grown to more than 30 staff members who help hundreds of people every day.

“Throughout the School of Public Administration, our faculty, staff and advisory boards have worked hard to ensure we are offering students in Central Florida, across the country and around the globe a world-class, innovative education,” says Doug Goodman, professor and school director. “We are honored to be recognized as leaders in emergency management, nonprofit management, public leadership management and public finance and budgeting, fields that are critical to the health and well-being of our citizens and the success of our communities.”

The Best Graduate Education Schools category includes graduate-level educator preparation and advancement programs, such as teacher education, school counseling and psychology, educational leadership, and curriculum and instruction, all offered through the College of Community Innovation and Education. The college offers graduate students numerous opportunities to collaborate closely with expert faculty, from receiving mentorship and support in research and scholarship to engaging in robust internships and field experiences with school district, nonprofit and agency partners. Some faculty members also lead federally funded projects that offer tuition assistance and prepare students to work with students in high-need schools.

UCF’s continued rise has also drawn praise from other outlets:

  • In February, U.S. News & World Report released its best online program national rankings, which placed UCF tied at No. 7 in the nation for best online bachelor’s programs. Of the 14 UCF national rankings from U.S. News , six online programs made the top 10, two made the top 15 and three were in the top 50. UCF has ranked in the top 20 overall Best Online Programs for the past seven years.
  • In March, The Princeton Review and PC Gamer recognized UCF’s game design programs among the best in the world. The graduate Florida Interactive Entertainment Academy is ranked No. 1 in the world for the fourth time in five years. The undergraduate game design program, Games and Interactive Media (GaIM) in UCF’s Nicholson School of Communication and Media, achieved its highest ranking ever, advancing to No. 5 in the world.
  • Sports Business Journal named Orlando the No. 1 Best Sports Business City for event hosting, including the NBA, Orlando City and Orlando Pride Soccer, the nation’s premier tennis center, college football bowl games, the NFL Pro Bowl, U.S. Olympic Marathon Trials, the Arnold Palmer Invitational — and, of course, the UCF Knights. With its inaugural season in the Big 12 Conference in 2023, UCF has skyrocketed to unprecedented success as the youngest Power Four program in the country. With one of the country’s  top graduate sports business programs , UCF has also provided a pipeline of talented graduates to some of the nation’s biggest sports brands.

More Topics

Pegasus magazine.

Fall 2023

Founded to help fuel talent for the nearby space industry , UCF continues to build its reputation as SpaceU. Here's a look at the early days of UCF's space ties and journey to new frontiers.

research topics in security management

ScienceDaily

Food security in developed countries shows resilience to climate change

A study by the University of Southampton has found that market forces have provided good food price stability over the past half century, despite extreme weather conditions.

Research into US wheat commodities by economists at Southampton, in collaboration with UCL, also suggests high uncertainty about the state of future harvests hasn't destabilised the market.

Findings are published in the Journal of Economic Dynamics and Control .

Wheat is an important crop in the United States used for food production. A small fraction becomes animal feed and the crop isn't used to generate biofuel. The main buyers of wheat are flour mills, food processors, and direct consumers.

The researchers analysed data on American wheat production, inventories, crop area, prices and wider market conditions from 1950 to 2018, together with records of annual fluctuations in the weather for the same period. This showed strong evidence of an increase in weather and harvest variability from 1974 onwards.

"Before the mid-70s, oil was the dominant driver of wheat price fluctuations in the US, but after this point we see a much stronger influence coming from a wider set of factors that includes weather and food consumption," explains lead author Dr Vincenzo De Lipsis of the University of Southampton.

"Extreme weather events, such as droughts and floods, are becoming more frequent and intense across the world due to climate change. Understanding the impact of this variability on food commodity prices is crucial, as it could have serious implications for food security."

The authors found that in the US the market system around wheat has remained competitive, functioning well and adapting to the new uncertain climate conditions. The potential for weather fluctuations to adversely affect wheat prices has increased, but in reality this hasn't been passed on to the market. Wheat prices remain relatively stable, along with the price of associated goods.

The researchers found that this is mainly due to farmers and agricultural industries providing a buffer, smoothing out any bumps in the supply of grain to retailers and consumers, thus reducing shocks to the market that poor harvests may cause. This has been achieved by investment in substantial storage facilities, modern infrastructure and good transport links.

According to the study, the US wheat sector has demonstrated remarkable resilience and flexibility in adapting to the ever-increasing unpredictability of the climate and harvest by modifying its inventory management. At the same time, there is no indication that the wheat market is vulnerable to excessive volatility from the related financial futures market, which can often emerge in commodity markets in response to increased uncertainty regarding future production capacity.

Commenting on what policymakers can take from the research, Dr De Lipsis says: "We have shown that market forces provide a powerful stabilising mechanism to counter the increased variability in weather and harvest observed in the last half a century.

"The market mechanism is one of the most effective instruments that governments have available for climate change adaptation and food security. But for this to work effectively, we need a combination of factors in place: a well-functioning competitive commodity market, a modern infrastructure with extensive transport networks, sufficient food storage capacity and a liquid futures market.

"However, while the system in the US continues to be robust, it's hard to predict if storage mechanisms will work equally well if faced with unprecedented levels of weather variability -- the kind of extreme events that can potentially disrupt the transport network and the very infrastructure on which it is based."

The authors acknowledge that stability is easier to achieve in developed and more affluent countries, but say that their results underscore the need to prioritise investment in these key areas in developing regions to ensure a reliable and secure food supply in the future.

  • Food and Agriculture
  • Agriculture and Food
  • Global Warming
  • Severe Weather
  • Resource Shortage
  • World Development
  • Public services
  • Economic growth
  • Meteorology
  • Severe weather terminology (United States)
  • Stock market

Story Source:

Materials provided by University of Southampton . Note: Content may be edited for style and length.

Journal Reference :

  • Vincenzo De Lipsis, Paolo Agnolucci. Climate change and the US wheat commodity market . Journal of Economic Dynamics and Control , 2024; 161: 104823 DOI: 10.1016/j.jedc.2024.104823

Cite This Page :

Explore More

  • Ozone Removes Mating Barriers Between Fly ...
  • Parkinson's: New Theory On Origins and Spread
  • Clash of Stars Solves Stellar Mystery
  • Secure Quantum Computing at Home
  • Ocean Currents: Collapse of Antarctic Ice ...
  • Pacific Cities Much Older Than Previously ...
  • The Milky Way in Ancient Egyptian Mythology
  • Physical Activity Best in the Evening
  • How the Body Switches out of 'Fight' Mode
  • New Drug Prevents Flu-Related Lung Damage

Trending Topics

Strange & offbeat.

IMAGES

  1. 215 Best Cybersecurity Research Topics for Students

    research topics in security management

  2. 60+ Latest Cyber Security Research Topics for 2023

    research topics in security management

  3. Research Cyber Security Topics for Projects With Source Code [Help]

    research topics in security management

  4. 🔐 Cyber Security Research Topics

    research topics in security management

  5. A List of 181 Hot Cybersecurity Topics for Research Papers [2024]

    research topics in security management

  6. Latest Cyber Security Research Topics [Novel Research Proposal]

    research topics in security management

VIDEO

  1. Explain Security to Management #cissp

  2. Certified Information Security Management Certification #cybersecurity #cybersecuritycertification

  3. CIS41A Unit 5 Lecture: Defense In Depth and Layered Security Approaches

  4. Safeguarding Excellence: The Core of Information Security Management

  5. training session @ alert security management services

  6. SECURITY GUARD TRAINING: DEALING WITH RETAIL THEFT. Top 5 Tips

COMMENTS

  1. Security Management Research Paper Topics

    The range of research paper topics in security management reflects this diversity and offers a wealth of opportunities for students to engage with cutting-edge issues. The ongoing development of this field requires fresh insights, innovative thinking, and a commitment to understanding the underlying principles that govern security management. ...

  2. Cybersecurity Research Topics (+ Free Webinar)

    A comprehensive list of cybersecurity-related research topics. Includes 100% free access to a webinar and research topic evaluator. ... Developing IoT solutions for efficient energy management in smart homes. ... These are actual studies, so they can provide some useful insight as to what a research topic looks like in practice. Cyber Security ...

  3. Security as a key contributor to organisational resilience: a

    'Security risk management' stands out as a basic and cross-sectional theme; it presents a high citation and impact rate during this period. This theme is related to research on topics such as telecommunication control, remote monitoring and management, among others.

  4. 2987 PDFs

    Rajesh Kumar. Siddhant Singh. Rohan Kela. Explore the latest full-text research PDFs, articles, conference papers, preprints and more on SECURITY RISK MANAGEMENT. Find methods information, sources ...

  5. How I choose a security research topic

    Direct impact vs audience impact. As a security professional, it's tempting to rate a research project's impact based on the direct impact. For example, over the years I've seen a range of serious flaws in a certain popular CDN, and I suspect that if I directly targeted it, I could find multiple ways to take over all their customers ...

  6. Information systems security research agenda: Exploring the gap between

    The third most researched topic area in IS security academic research is the Systems Design and Vulnerability Management. In the IS research community, there is a rich tradition of research that explores system design issues and vulnerabilities. ... Unlike academic literature, IS Security Management and Regulatory Issues were relegated to the ...

  7. Categorizing Security for Security Management and Information ...

    A comprehensive understanding of security is required for security management and the management of information resources about security. Figure 1. Google Search Hits of "Security" from Year 1985 to 2015. Notes. We collected the search hits on 13 January 2018 at three times: Midnight, noon, and evening.

  8. Security

    Security. Cyber threats have grown exponentially as the modern web and powerful AI systems have proliferated. We're designing systems to secure the hybrid cloud and AI for sensitive datasets to ensure organizations can continue to operate safely and securely. Cloud computing and AI have dramatically transformed global computational ...

  9. Information security management frameworks and strategies in ...

    Effective information security management (ISM) practices to protect the information assets of organizations from security intrusions and attacks is imperative. In that sense, a systematic literature review of academic articles focused on ISM in higher education institutions (HEIs) is conducted. For this purpose, an empirical study was performed. Studies carried out from 2012 onward reporting ...

  10. Cyber risk and cybersecurity: a systematic review of data availability

    The lack of data poses challenges for many areas, such as research, risk management and cybersecurity (Falco et al. 2019). The importance of this topic is demonstrated by the announcement of the European Council in April 2021 that a centre of excellence for cybersecurity will be established to pool investments in research, technology and ...

  11. 61 Security Management Essay Topic Ideas & Examples

    Information Security Management System: ISO 27001. According to the existing description of the standard, the process of facilitating a control over the data management processes in a company is crucial to the security of its members. Security Management: Addressing Challenges and Losses. Indeed, designing the strategy that would allow ...

  12. (PDF) Information Security Management in High Quality IS Journals: A

    This paper analyses ISM research themes, methods, and theories in high quality IS journals over a period of 30 years (up to the end of 2017). Although our review found that less than 1 percent of ...

  13. 500+ Cyber Security Research Topics

    Cyber Security Research Topics. Cyber Security Research Topics are as follows: The role of machine learning in detecting cyber threats. The impact of cloud computing on cyber security. Cyber warfare and its effects on national security. The rise of ransomware attacks and their prevention methods.

  14. Security Management and Security Leadership Dichotomies: Which is

    That is to say, the topic of security leadership is. polarising, with most individuals immediately anchoring to their assumptions, culture, beliefs, and. practices of this vast subject. Conversely ...

  15. 5 Research Topics in Cybersecurity

    Today's most pressing research topics in cybersecurity go beyond password protection and firewalls. A global pandemic, geopolitical events and technological advances are also behind some key topics that are now driving cybersecurity research. Below are five of those top cybersecurity research topics. 1. Artificial Intelligence.

  16. Research Projects

    At the heart of the Center for Security Studies (CSS) research activities are key questions of contemporary security and strategy. We are particularly interested in the changing landscape of threats that states and their societies face, the methodologies, concepts, and tools used to gain knowledge about these threats and the way states and other actors organise themselves to confront these ...

  17. Topics

    Topics Select a term to learn more about it, and to see CSRC Projects, Publications, News, Events and Presentations on that topic. ... program management; security automation; systems security engineering. trustworthiness. reliability; resilience; safety; zero trust; ... Federal Cybersecurity Research and Development Strategic Plan;

  18. It security management

    IT management Digital Article. Lucia Milică. Dr. Keri Pearlson. A survey of 600 directors suggests that growing awareness of cyber risk isn't enough to drive better preparedness. May 02, 2023.

  19. 60+ Latest Cyber Security Research Topics for 2024

    Looking for latest cyber security research topics of 2024? Here is a list of research ideas along with the cyber security research areas, tips to choose the best topic from experts and more. ... (REA) of Scrum Alliance®. PMP is a registered mark of the Project Management Institute, Inc. CAPM is a registered mark of the Project Management ...

  20. Dissertations / Theses: 'Security Risk Management Model ...

    Consult the top 50 dissertations / theses for your research on the topic 'Security Risk Management Model.'. Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard ...

  21. Research Security and Risk Management

    A simple research data security plan complements your data management plan and demonstrates your due diligence in planning for and managing risks to your project data. To streamline the planning process and help you allocate more of your time to conducting research, use the Secure UD Research Security Plan Tool.

  22. Emergency Management of Tomorrow Research Fact Sheet

    The Department of Homeland Security (DHS) Science and Technology Directorate (S&T) is coordinating with Pacific Northwest National Laboratory (PNNL) to develop an effective research agenda that supports emergency managers with effective information sharing technologies and to identify, develop and transition the use of these advanced technologies in support of EOC activities.

  23. Identity, data security expectations for RSA Conference 2024

    Security practitioners can expect to hear about key issues at this year's RSA Conference, including identity and data security, AI and DSPM. I am looking forward to visiting San Francisco to reconnect with 45,000 of my closest friends at RSA Conference 2024. As the analyst looking after identity and data security at TechTarget's Enterprise ...

  24. AI-Driven Cybersecurity: An Overview, Security Intelligence ...

    Artificial intelligence (AI) is one of the key technologies of the Fourth Industrial Revolution (or Industry 4.0), which can be used for the protection of Internet-connected systems from cyber threats, attacks, damage, or unauthorized access. To intelligently solve today's various cybersecurity issues, popular AI techniques involving machine learning and deep learning methods, the concept of ...

  25. Not Having Job Flexibility or Security Can Leave Workers Feeling

    When employees don't have control over their work schedules, it's not just morale that suffers—mental health takes a hit too. That's what my colleagues and I discovered in a study recently published in the medical journal JAMA Network Open.. As a public health expert, I know that the way our jobs are designed can affect our well-being.Research has shown that flexibility, security, and ...

  26. Information Security Management

    Jun 2022. Jun 2022. Explore the latest full-text research PDFs, articles, conference papers, preprints and more on INFORMATION SECURITY MANAGEMENT. Find methods information, sources, references or ...

  27. A new way to detect radiation involving cheap ceramics

    Now, in work funded largely by the U.S. Department of Homeland Security with early support from the U.S. Department of Energy, MIT engineers have demonstrated a fundamentally new way to detect radiation that could allow much cheaper detectors and a plethora of new applications.

  28. 4 Reasons Why Managers Fail

    Further analysis found that 48% of managers are at risk of failure based on two criteria: 1) inconsistency in current performance and 2) lack of confidence in the manager's ability to lead the ...

  29. UCF Graduate Programs Reach New Heights in U.S. News Rankings Through

    "This honor highlights the innovative and community-focused research by our faculty and continuous engagement with community partners invested in our outstanding students and alumni." Other highlights include: 12 in Education — Student Counseling and Personnel Services; 15 in Public Affairs — Nonprofit Management, up three spots since ...

  30. Food security in developed countries shows resilience to ...

    Food security in developed countries shows resilience to climate change. ScienceDaily . Retrieved April 11, 2024 from www.sciencedaily.com / releases / 2024 / 04 / 240411130146.htm