Intelligent Cybersecurity and Resilience for Critical Industries: Challenges and Applications

Intelligent Cybersecurity and Resilience for Critical Industries: Challenges and Applications thoroughly explores cybersecurity principles, strategies, and technologies crucial for protecting digital assets and combating evolving cyber threats in critical industries. This book provides indispensable guidance in fortifying cyber defenses for critical infrastructures. Each chapter offers invaluable insights into proactive defense measures, from AI-driven threat management in healthcare systems to practical applications of AI for cyber risk management in critical infrastructures. Unraveling the complexities of contemporary cyber threats, this book empowers readers with the knowledge and tools needed to navigate the intricate landscape of cybersecurity effectively. Through a multidisciplinary approach spanning AI, machine learning, and advanced technologies, it addresses the urgent challenges organizations encounter in securing their digital infrastructure and safeguarding sensitive data from malicious cyber-attacks.

Technical topics discussed in the book include:

• AI-driven strategies for advanced malware detection and prevention
• Hybrid deep learning techniques for precise malware classification
• Machine learning applications tailored to IoT security challenges
• Comprehensive exploration of blockchain techniques enhancing IoT security and privacy
• Practical integration of security analysis modules for proactive threat intelligence.

Designed as an essential reference, this book caters to students, researchers, cybersecurity professionals, and individuals keen on comprehending and tackling contemporary cyber defense and risk assessment challenges. It serves as a valuable resource for enhancing cybersecurity awareness, knowledge, and practical skills in critical industries.

Prof. Mounia Zaydi is an associate professor of cybersecurity at the Engineering School JUNIA ISEN in France. She is a member of IEEE and the International Association of Engineers (IAENG). Dr. Zaydi has made significant contributions in information security and privacy, IT governance, risk management, and the application of artificial intelligence to IT changes, incidents, and agility. Her research interests include information security and privacy, the Internet of Things, network security, information systems, IT governance, and intrusion detection. She has published over 20 papers, including book chapters, international journals, and conferences/workshops. Dr. Zaydi has also served and continues to serve on executive and technical program committees, and as a reviewer for numerous international conferences and journals.

Prof. Yassine Maleh is an associate professor of cybersecurity and IT governance at Sultan Moulay Slimane University, Morocco. He gained a Ph.D. in computer sciences in 2017. He is the chair of IEEE Consultant Network Morocco and the founding president of the African Research Center of Information Technology & Cybersecurity. He is a senior member of IEEE and a 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, and 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 200 papers (book chapters, international journals, and conferences/workshops), 40 edited books, and 6 authored books. He is the editor-in-chief of the International Journal of Information Security and Privacy, and the International Journal of Smart Security Technologies (IJSST). He serves as an associate editor for IEEE Access, and the International Journal of Digital Crime and Forensics (IJDCF). He is a series editor for Advances in Cybersecurity Management by CRC Taylor & Francis. He has served and continues to serve on executive and technical program committees and as a reviewer of numerous international conferences and journals such as Elsevier Ad Hoc Networks, IEEE Network Magazine, IEEE Sensor Journal, ICT Express, and Springer Cluster Computing. He received the Publons Top 1% reviewer award for 2018 and 2019.

Prof. Gabriel Chenevert is the Department Head of Mathematics and Computer Science at JUNIA (formerly known as Yncréa Hauts-de-France: HEI/ISA/ISEN Lille), and is an associate professor of mathematics and computer science. He specializes in teaching mathematics, probabilities, and cybersecurity, focusing on cryptography for the engineering cycle. Professor Chênevert has made significant contributions to the fields of cryptography, IT, algorithmic dimension, post-quantum encryption, and blockchain, and is a regular speaker at the Mathematics Club talks. He also serves on the organizing committee for the annual Mathematical Circle of Vauban conference. In addition, he has published numerous papers in international journals, conferences, and workshops, including book chapters.

Prof. Hayat Zaydi is a Professor of Computer Science at the National Superior School of Mines in Rabat (ENSMR), Morocco. She is a Cisco Academy instructor and a member of the International Association of Engineers (IAENG). Her academic contributions cover various aspects of the Internet of Things (IoT), with a specialized focus on its implications in healthcare. She has also extensively researched artificial intelligence (AI) and architectural concepts, including edge, fog, and cloud computing. A significant area of her research centers on cybersecurity mechanisms within these data-driven hybrid architectures, particularly when implementing machine learning and deep learning algorithms. Other aspects of her work involve big data, optimization, and load balancing in IoMT (Internet of Medical Things) architectures. Professor Zaydi has published numerous papers, including book chapters, international journals, and conferences. She has actively participated in organizing and serving on technical program committees and has contributed as a reviewer for numerous international conferences and journals.

Prof. Amina El Yaagoubi is a Lecturer-Researcher of Mathematics and Computer Sciences at Engineering School JUNIA ISEN, France. Expertise in combinatorial and multi-objective optimization, mathematical programming, and operations research. She is a member of the European Working Group ＂＂Multiple Criteria Decision Aiding＂＂. She completed her Ph.D. in Mathematics and Computer Sciences and pursued a postdoctoral research position for three years at Le Havre Normandy University in France. She is the author of numerous scientific publications, including journal papers, conference papers, and book chapters. Dr. El Yaagoubi’s research focuses on applying optimization techniques in logistics and transportation, encompassing both inland and maritime transportation domains. She is actively engaged in the research community, is a reviewer for various international journals, and participates in the organizing and scientific committees of different conferences.