Cyber-physical system is a computer system in which a mechanism is controlled or monitored by computer-based algorithms and involves transdisciplinary approaches, merging the theory of cybernetics, mechatronics, design, and process science. This text mainly concentrates on offering a foundational theoretical underpinning, and a comprehensive and coherent review of intelligent security solutions for Cyber-physical systems. * Presents an overview of cyber-physical systems along with security concepts like attack detection methods, cyber-physical systems failures, risk identification, and management. * Showcases cyber-physical systems security solutions, lightweight cryptographic solutions, and cyber-physical systems forensics. * Emphasizes on use of machine learning methods for behavior-based intrusion detection in cyber-physical systems. * Elaborates classification of network abnormalities on the internet of the things-based cyber-physical system using deep learning. * Includes case studies and applications in the domain of smart grid systems, industrial control systems, and smart manufacturing. The text is primarily written for graduate students, and academic researchers in the fields of computer science and engineering, information technology, and electronics and communication engineering. Seasonal Blurb: This reference text addresses the security aspects of intelligent cyber-physical systems in a comprehensive manner. It will further discuss various attack detection methods, intelligent solutions for securing cyber-physical systems, lightweight cryptographic solutions, and classification of network abnormalities. The book also elaborates on the explainable unsupervised machine learning, intelligent data management framework, and machine learning approaches for continuous detection of concept drift. It is primarily written for graduate students, and academic researchers in the fields of computer science and engineering, information technology, and electronics and communication engineering. Short Blurb: This book focuses on providing a comprehensive overview of cyber-physical systems and the security concepts like attack detection methods, system failures, risk identification, and management. It further elaborates on different machine-learning approaches to detect anomalous data from sensors, reinforcement learning, and time-series clustering.