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Full Description
This book presents practical guidance to researchers working on AI and machine learning, with application to cyber-physical systems (CPS) security and resilience in interdisciplinary areas, including but not limited to computer science, operation research, civil engineering, and electrical engineering. Furthermore, the book provides the readers with an insight into understanding the big picture of CPS security and resilience challenges, corresponding large-scale problems, and AI solutions to deal with these problems. The book is suitable for senior undergraduate students, graduate students who are interested in research in multidisciplinary areas, and researchers who are currently working in the related areas. This book also can be used for related courses in computer science, operation research, electrical and computer engineering, and industrial engineering. It also covers the application of cyber-physical systems which makes it a perfect source of study for audience out of academia to obtain a general insight of interdependent networks.
Contents
Introduction.- Fundamentals of AI for CPS Security.- AI-based cyber-attack detection and prevention.- Trustworthy AI for CPS Security.- Applications of AI in CPS.- Generative AI.- AI Fairness and Its Impact on Cybersecurity CPS Security.- Fundamentals of AI for CPS Resilience.- AI-driven Recovery of CPS.- AI-driven Planning for Resilient CPS.- Quantum AI for Resilience.- Conclusion.



