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About Us

Mohammad Arafah

Mohammed Arafah is a researcher in Artificial Intelligence and Cyber Security. From Al Zarqa University, a Bachelor's Degree in Software Engineering helped build his academic foundation and early interest in Cybersecurity topics. He earned a Master's in Information Systems from the University of Jordan and thus refined himself in many fields. Following his PhD at Loughborough University in the United Kingdom, Dr. Mohammed was helmed by a commitment to increasing knowledge in artificial intelligence and Cybersecurity. For his doctoral research, he focused on integrating artificial intelligence techniques into cybersecurity frameworks to find ways of detecting and compensating cyber threats in innovative, creative ways. Dr. Mohammed is building AI-based security models for deep analysis against evolving cyber threats. Regarding his research, he wants to create robust models with intelligent behavior that decrease risk as much as possible in Cybersecurity.

Publications

AI for Threat Intelligence Integration in Cybersecurity Insurance

In this chapter, natural barriers of combining artificial intelligence and the threat intelligence in cybersecurity insurance framework for cyber risk quantification and transfer...

Children in Digital Spaces Safety, Privacy, and Protection in the Age of AI

In this chapter, I examine the extraordinary changes in the digital media brought to us by the artificial intelligence technologies, examining at once both the phenomenal indeed...

Theoretical Frameworks for Zero-Knowledge Proof Integration in Autonomous Defense Systems: A Mathematical Foundation for Privacy-Preserving Security

The proposed research presents a theoretical investigation into the integration of zero-knowledge proofs (ZKP) within autonomous defense architectures, establishing rigorous...

Cybersecurity for Autonomous Electric Vehicles (EVs)

In this chapter, we study the implementation and effectiveness of AI-driven deception technologies for autonomous defense systems consisting of intelligent honeypots and adaptive...

Generative AI and the Evolving Threat Landscape: A Security Professional's Guide

This comprehensive guide studies the transformative impact of generative artificial intelligence (AI) on the cybersecurity landscape, analyzing both offensive capabilities and...

AI-Powered Social Engineering and Impersonation Attacks

This chapter presents a comprehensive analysis of advanced social engineering attack vectors enhanced by Generative Artificial Intelligence (GenAI) technologies, focusing on...

Detection and Analysis of AI-Generated Malicious Content

Generative artificial intelligence (AI) technologies are advancing rapidly and, for the first time, pose unprecedented cybersecurity challenges with sophisticated AI-generated...

Formal Verification Theory for AI-Driven Autonomous Defense Systems

This paper investigates how the formal verification methods handle AI autonomous defense system usage through current industry trends. AI deployment within military operations...

Cybersecurity in the Age of Digital Transformation: Protecting Assets, Infrastructure, and Innovation

This chapter discussed cybersecurity and digital transformation's impacts on evolving challenges over protecting digital assets and infrastructure fitting for innovation. It...