Academic Articles & Research Papers

Cybersecurity, safety and robots: Strengthening the link between cybersecurity and safety in the context of care robots

This paper addresses the interplay between robots, cybersecurity, and safety from a European legal perspective, a topic under-explored by current technical and legal literature. The legal framework, together with technical standards, is a n...

The protoscience of cybersecurity

I argue that marking a proper distinction between two types of research in the cybersecurity field obviates the present debate concerning a “science of cybersecurity.” Once the terminology has been properly disambiguated, the accurate descr...

Machine learning in cybersecurity: a comprehensive survey

Today’s world is highly network interconnected owing to the pervasiveness of small personal devices (e.g., smartphones) as well as large computing devices or services (e.g., cloud computing or online banking), and thereby each passing minut...

A review of generative adversarial networks and its application in cybersecurity

Review of Generative AI methods in cybersecurity

Over the last decade, Artificial Intelligence (AI) has become increasingly popular, especially with the use of chatbots such as ChatGPT, Google’s Gemini, and DALL-E. With this rise, large language models (LLMs) and Generative AI (GenAI) hav...

Federated Learning for Cybersecurity: Concepts, Challenges, and Future Directions

Federated learning (FL) is a recent development in artificial intelligence, which is typically based on the concept of decentralized data. As cyberattacks are frequently happening in the various applications deployed in real time, most indu...

Cybersecurity

This chapter begins with cybersecurity features. It covers various forms of cyber threats: cyberattacks, cyberterrorism, and cyberbullying. The chapter addresses cybersecurity governance and the trade-offs between cybersecurity and freedom....

Explainable AI for Cybersecurity

In recent years, the utilization of AI in the field of cybersecurity has become more widespread. Black-box AI models pose a significant challenge in terms of interpretability and transparency, which is one of the major drawbacks of AI-based...

Deep Learning in Cybersecurity

In this article, a review and summarization of the emerging scientific approaches of deep learning (DL) on cybersecurity are provided, a structured and comprehensive overview of the various cyberattack detection methods is conducted, existi...

Hacking the Human: The Prevalence Paradox in Cybersecurity

OBJECTIVE: This work assesses the efficacy of the "prevalence effect" as a form of cyberattack in human-automation teaming, using an email task. BACKGROUND: Under the prevalence effect, rare signals are more difficult to detect, even when t...

Cybersecurity Fundamentals

Cybersecurity Fundamentals: A Real-World Perspective explains detailed concepts within computer networks and computer security in an easy-to-understand way, making it the perfect introduction to the topic. This book covers fundamental issue...

From physical security to cybersecurity

Security is a critical concern around the world. In many domains from cybersecurity to sustainability, limited security resources prevent complete security coverage at all times. Instead, these limited resources must be scheduled (or alloca...

Machine learning in cybersecurity: A review

Machine learning technology has become mainstream in a large number of domains, and cybersecurity applications of machine learning techniques are plenty. Examples include malware analysis, especially for zero‐day malware detection, threat a...

Application of deep learning to cybersecurity: A survey

Generative AI in cybersecurity: A comprehensive review of LLM applications and vulnerabilities

This paper provides a comprehensive review of the future of cybersecurity through Generative AI and Large Language Models (LLMs). We explore LLM applications across various domains, including hardware design security, intrusion detection, s...

Cybersecurity

An accessible guide to cybersecurity for the everyday user, covering cryptography and public key infrastructure, malware, blockchain, and other topics. It seems that everything we touch is connected to the internet, from mobile phones and w...

Guidelines for usable cybersecurity: Past and present

Usability is arguably one of the most significant social topics and issues within the field of cybersecurity today. Supported by the need for confidentiality, integrity, availability and other concerns, security features have become standar...

Recommender Systems in Cybersecurity

Abstract With the growth of CyberTerrorism, enterprises worldwide have been struggling to stop intruders from obtaining private data. Despite the efforts made by Cybersecurity experts, the shortage of skillful security teams and the usage o...

Large Language Models in Cybersecurity: State-of-the-Art

The rise of Large Language Models (LLMs) has revolutionized our comprehension of intelligence bringing us closer to Artificial Intelligence. Since their introduction, researchers have actively explored the applications of LLMs across divers...

Cybersecurity for distributed energy resources and smart inverters

The increased penetration of distributed energy resources (DER) will significantly increase the number of devices that are owned and controlled by consumers and third‐parties. These devices have a significant dependency on digital communica...