Academic Articles & Research Papers

Harnessing Artificial Intelligence Capabilities to Improve Cybersecurity

Cybersecurity is a fast-evolving discipline that is always in the news over the last decade, as the number of threats rises and cybercriminals constantly endeavor to stay a step ahead of law enforcement. Over the years, although the origina...

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...

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...

Cybersecurity

Aggressors and organized crimes have launched serious cybersecurity attacks, and ill-prepared public and private organizations have suffered dearly. People are the most vulnerable element in cybersecurity, and thus continuous efforts should...

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...

AI-Driven Cybersecurity and Threat Intelligence

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...

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 as praxis and as a state: The EU law path towards acknowledgement of a new right to cybersecurity?

The end of the second decade of the 21st century has been the best of times for EU's cybersecurity law and policy: Its NIS Directive has been transposed into all Member States’ national law, creating a new administrative structure at EU and...

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 Connected Diabetes Devices

Diabetes devices are increasingly connected wirelessly to each other and to data-displaying reader devices. Threats to the accurate flow of information and commands may compromise the function of these devices and put their users at risk of...

The Impact and Limitations of Artificial Intelligence in Cybersecurity: A Literature Review

Artificial intelligence is opening up new avenues for value generation in enterprises, industries, communities, and society as a whole.Technology has been researched to be relevant in many aspects of the world.This factor has made it to be ...

From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy

Undoubtedly, the evolution of Generative AI (GenAI) models has been the highlight of digital transformation in the year 2022. As the different GenAI models like ChatGPT and Google Bard continue to foster their complexity and capability, it’...

Information technology governance and cybersecurity at the board level

Security breaches are very costly in the USA, followed very closely by the Middle East. Shareholders and investors demand that their firms mitigate all kinds of risks, and it is the responsibility of the BOD to gain and maintain their confi...

THE ROLE OF NATURAL LANGUAGE PROCESSING

Natural Language Processing (NLP) is a rapidly evolving field in the intersection of computer science, artificial intelligence, and linguistics. This article provides an overview of NLP, tracing its historical development from early rule-ba...