Artificial Intelligence Paradigms for Smart Cyber-Physical Systems

Description

Cyber-physical systems (CPS) have emerged as a unifying name for systems where cyber parts (i.e., the computing and communication parts) and physical parts are tightly integrated, both in design and during operation. Such systems use computations and communication deeply embedded in and interacting with human physical processes as well as augmenting existing and adding new capabilities. As such, CPS is an integration of computation, networking, and physical processes. Embedded computers and networks monitor and control the physical processes, with feedback loops where physical processes affect computations and vice versa. The economic and societal potential of such systems is vastly greater than what has been realized, and major investments are being made worldwide to develop the technology. Artificial Intelligence Paradigms for Smart Cyber-Physical Systems focuses on the recent advances in Artificial intelligence-based approaches towards affecting secure cyber-physical systems. This book presents investigations on state-of-the-art research issues, applications, and achievements in the field of computational intelligence paradigms for CPS. Covering topics that include autonomous systems, access control, machine learning, and intrusion detection and prevention systems, this book is ideally designed for engineers, industry professionals, practitioners, scientists, managers, students, academicians, and researchers seeking current research on artificial intelligence and cyber-physical systems. Title Page Copyright Page Book Series Table of Contents Detailed Table of Contents Preface Section 1: Artificial Intelligence and Cyber-Physical Systems Chapter 1: Engineering AI Systems Chapter 2: Machine Learning in Cyber-Physical Systems in Industry 4.0 Chapter 3: Explainable Artificial Intelligence (xAI) Approaches and Deep Meta-Learning Models for Cyber-Physical Systems Chapter 4: Artificial Intelligence-Based Solutions for Cyber Security Problems Chapter 5: Social Perspective of Suspicious Activity Detection in Facial Analysis Section 2: IDS/IPS for Smart Cyber-Physical Systems Chapter 6: Smart IDS and IPS for Cyber-Physical Systems Chapter 7: A Survey on Network Intrusion Detection Using Deep Generative Networks for Cyber-Physical Systems Chapter 8: Malicious URL Detection Using Machine Learning Chapter 9: Video-Based Human Authentication System for Access Control Section 3: Engineering Applications in CPS Chapter 10: Optimizing WSNs for CPS Using Machine Learning Techniques Chapter 11: Multiplier for DSP Application in CPS System Chapter 12: IoT Applications in Smart Home Security Chapter 13: Applying a Methodology in Data Transmission of Discrete Events From the Perspective of Cyber-Physical Systems Environments Chapter 14: Cyber-Physical System for Smart Grid Chapter 15: Bayesian Model for Evaluating Real-World Adaptation Progress of a Cyber-Physical System Compilation of References About the Contributors Index