Generative AI for Cyber Risk Management: 9798369383971: Security & Forensics Books

Publication Status: E-Book Available, Print Version Coming Soon

ISBN13: 9798369383971

ISBN13 Softcover: 9798369383988

EISBN13: 9798369383995

DOI: 10.4018/979-8-3693-8397-1

Description:

As digital ecosystems and cyber threats become even more complex, organizations are seeking tools to strengthen their defenses and manage risk more proactively. Generative AI offers a transformative approach to cyber risk management by enabling intelligent threat prediction and dynamic response strategies tailored to evolving attack vectors. By simulating diverse threat scenarios and supporting more informed decision-making, generative AI empowers security teams to stay ahead of adversaries. Integrating this technology into cybersecurity tools not only increases resilience but also helps organizations navigate an ever-changing risk landscape with greater precision and confidence.

Generative AI for Cyber Risk Management explores the transformative role of generative AI technologies in cyber risk management. This book examines the integration of AI-driven models to predict and manage cyber threats. Covering topics such as AI, risk management, and digital ecosystems, this book is an excellent resource for academicians, researchers, industry professionals, technology developers, policy makers, and graduate students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Artificial Intelligence (AI)
Blockchain
Cloud Security
Computer Monitoring
Cyber Security
Cyber Threats
E-Commerce
Generative AI
Risk Environments
Risk Management
Security Risks
Software Engineering
Threat Hunting
Zero Trust Architectures

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Prof. Yassine Maleh is a PhD of the University Hassan 1st in Morocco in the field of Internet of Things Security and privacy, since 2013. He is Senior Member of IEEE, Member of the International Association of Engineers IAENG and The Machine Intelligence Research Labs. Dr Maleh has made contributions in the fields of information security and privacy, Internet of Things Security, Wireless and Constrained Networks Security. His research interests include Information Security and Privacy, Internet of Things, Networks Security, Information system and IT Governance. He has published over than 50 papers (Book chapters, international journals and conferences/workshops), and 4 edited books and 1 authored book. He is the editor in chief of the International Journal of Smart Security Technologies (IJSST). He serves as an Associate Editor for IEEE Access (2019 Impact Factor 4.098), the International Journal of Digital Crime and Forensics (IJDCF) and the International Journal of Information Security and Privacy (IJISP). He was also a Guest Editor of a special issue on Recent Advances on Cyber Security and Privacy for Cloud-of-Things of the International Journal of Digital Crime and Forensics (IJDCF), Volume 10, Issue 3, July-September 2019. He has served and continues to serve on executive and technical program committees and as a reviewer of numerous international conference and journals such as Elsevier Ad Hoc Networks, IEEE Network Magazine, IEEE Sensor Journal, ICT Express, and Springer Cluster Computing. He was the Publicity chair of BCCA 2019 and the General Chair of the MLBDACP 19 symposium.

Mohamed Lahby received the Ph.D. degree in computer science from the Faculty of Sciences and Technology of Mohammedia, University Hassan II of Casablanca, Casablanca, Morocco, in 2013.,He is currently an Associate Professor with Higher Normal School, University Hassan II of Casablanca. His research interests include wireless communication and network, mobility management, and QoS/QoE.

Ahmed A. Abd El-Latif (SMIEEE, MACM) received the B.Sc. degree with honour rank in Mathematics and Computer Science in 2005 and M.Sc. degree in Computer Science in 2010, all from Menoufia University, Egypt. He received his Ph. D. degree in Computer Science & Technology at Harbin Institute of Technology (H.I.T), Harbin, P. R. China in 2013. He is an associate professor of Computer Science at Menoufia University, Egypt, and at EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Saudi Arabia. In more than 17 years of his professional experience, he published over 280 papers in journals/conferences including 14 books with over 10000 citations. He was also selected in the 2023, 2022, 2021 and 2020 Stanford University's ranking of the world's top 2% scientists. He is involved in government and international funded R&D projects related to the widespread use of artificial intelligence for 5G/6G networks. He received many awards, State Encouragement Award in Engineering Sciences 2016, Arab Republic of Egypt; the best Ph.D. student award from Harbin Institute of Technology, China 2013; Young scientific award, Menoufia University, Egypt 2014. He is a fellow at Academy of Scientific Research and Technology, Egypt. His areas of interests are Cybersecurity, 5G/6G Wireless Networks, Post-Quantum Cryptography, Artificial Intelligence of Things, AI-Based Image Processing, Information Hiding, Dynamical systems (Discrete-time models: Chaotic systems and Quantum Walks). He is the leader of the mega-grant program “Research of network technologies with ultra-low latency and ultra-high density based on the widespread use of artificial intelligence for 6G networks”. Dr. Abd El-Latif is the chair/co-chair of many Scopus/ EI conferences. He is the EIC of International Journal of Information Security and Privacy, and series editor of Advances in Cybersecurity Management (https://www.routledge.com). Also, academic editor/ associate editor for set of indexed journals (Scopus journals' quartile ranking).

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