Cyber-Physical System 2.0
Security and Threats
1st Edition
Will be published approx. on 1. December 2026
Book
Hardback
376 pages
978-1-041-09433-3 (ISBN)
Description
Cyber-Physical Systems (CPS) are revolutionizing industries, but their complexity introduces unprecedented security vulnerabilities. This book dives deep into the emerging threats and sophisticated defenses required for CPS 2.0, focusing on critical infrastructure and cloud-enabled environments. With a bibliometric analysis of blockchain and AI's role in CPS security, this book provides a comprehensive roadmap for building robust and trustworthy Cyber-Physical Systems. It explores advanced topics including supply chain security for Over-the-Air update, digital twin validation for enhanced resilience, game-theoretic security strategies against APTs and machine learning for anomaly detection and reliability assessment
This book:
Covers in-depth discussion on the next generation cyber physical systems covering several aspects such as architecture, networking, and burgeoning technologies.
Explains advanced security mechanisms tailored specifically forcyber physical systems 2.0, addressing the unique challenges posed by the integration of cutting-edge technologies including artificial intelligence, blockchain, and advanced computing.
Includes some case studies to provide a hands-on to the professionals and practitioners in the paradigm of implementation, and security analysis of cyber physical systems based applications.
Discusses machine learning-based real-time detection of grid instabilities and cyberattacks on energy distribution networks.
Showcases resilience management framework for reliable exchange of information in healthcare cyber physical systems.
It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communication engineering, computer science and engineering.
This book:
Covers in-depth discussion on the next generation cyber physical systems covering several aspects such as architecture, networking, and burgeoning technologies.
Explains advanced security mechanisms tailored specifically forcyber physical systems 2.0, addressing the unique challenges posed by the integration of cutting-edge technologies including artificial intelligence, blockchain, and advanced computing.
Includes some case studies to provide a hands-on to the professionals and practitioners in the paradigm of implementation, and security analysis of cyber physical systems based applications.
Discusses machine learning-based real-time detection of grid instabilities and cyberattacks on energy distribution networks.
Showcases resilience management framework for reliable exchange of information in healthcare cyber physical systems.
It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communication engineering, computer science and engineering.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Academic, Postgraduate, and Undergraduate Advanced
Illustrations
42 s/w Tabellen, 84 s/w Zeichnungen, 11 s/w Photographien bzw. Rasterbilder, 95 s/w Abbildungen
42 Tables, black and white; 84 Line drawings, black and white; 11 Halftones, black and white; 95 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-041-09433-3 (9781041094333)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
Amitkumar V. Jha received an M.Tech degree from the Indian Institute of Industrial Technology, Guwahati, India, and a Ph.D. degree from Kalinga Institute of Industrial Technology, Bhubaneswar, India. Currently, he is working as an Associate Professor in KIIT University. He has authored more than 80 articles in international journals, and conference proceedings. He has also authored 4 book chapters. He has also edited two books. To his credit, he has 4 patents. He has been honored with various awards, including Best Paper Award in the IEEE ECAI conference, Pitesti, Romania, Best Paper Award in IEEE CEES, Tokoyo, Japan, and Best Paper Award in IEEE STPEC 2023, KIIT University, India. He also serves as an editor for the Scientific Reports Journal. He is an active reviewer of many international journals. Dr. Jha has vast teaching experience for many core engineering subjects such as data communication and networking, computer networks, data stucture & algorithms, wireless sensor networks, digital system design, etc. He is a member of various professional societies, including a lifetime member of the Indian Science Congress (ISC), International Association of Engineers (IAENG), and World Leadership Academy.
Bhargav Appasani received the Ph.D. (Engg.) degree from Birla Institute of Technology, Mesra, India. He is currently an Associate Professor with the School of Electronics Engineering, KIIT University, Bhubaneswar, India. He has published more than 200 articles in international journals and conference proceedings. He has also published six book chapters with Springer and Elsevier. He has authored 1 book and has edited 4 books. He also has several patents filed to his credit. He is an academic editor of the Journal of Electrical and Computer Engineering and a reviewer for IEEE Transactions on Smart Grid, IEEE Transactions on Antennas and Propagation, and IEEE Access. Dr. Appasani has taught many courses, such as machine learning, data structure algorithm, microwave, control system, etc., for several years.
Deepak Kumar Gupta received a B.Tech. degree in Electrical Engineering from BBDNITM Lucknow in 2011 and M. Tech. in Power Systems from NIT Hamirpur, H.P. in 2013. He completed his PhD from IIT (BHU), Varanasi in 2018. He is currently working as an assistant professor at NSUT Delhi. He has authored more than 30 articles in international journals, and conference proceedings. He is also a reviewer of many international journals such from diverse publishers. His current research interests include control of Power Systems, FACTS devices, WAMS, optimization techniques, and renewable energy.
Bhargav Appasani received the Ph.D. (Engg.) degree from Birla Institute of Technology, Mesra, India. He is currently an Associate Professor with the School of Electronics Engineering, KIIT University, Bhubaneswar, India. He has published more than 200 articles in international journals and conference proceedings. He has also published six book chapters with Springer and Elsevier. He has authored 1 book and has edited 4 books. He also has several patents filed to his credit. He is an academic editor of the Journal of Electrical and Computer Engineering and a reviewer for IEEE Transactions on Smart Grid, IEEE Transactions on Antennas and Propagation, and IEEE Access. Dr. Appasani has taught many courses, such as machine learning, data structure algorithm, microwave, control system, etc., for several years.
Deepak Kumar Gupta received a B.Tech. degree in Electrical Engineering from BBDNITM Lucknow in 2011 and M. Tech. in Power Systems from NIT Hamirpur, H.P. in 2013. He completed his PhD from IIT (BHU), Varanasi in 2018. He is currently working as an assistant professor at NSUT Delhi. He has authored more than 30 articles in international journals, and conference proceedings. He is also a reviewer of many international journals such from diverse publishers. His current research interests include control of Power Systems, FACTS devices, WAMS, optimization techniques, and renewable energy.
Content
1. Cyber Physical System 2.0: Security and Threats. 2. Vulnerabilities and Threat Landscapes for CPS 2.0: A Smart Grid-Oriented Perspective. 3. A Bibliometric Perspective on Blockchain and AI in CPS Security: Trends, Insights, and Future Directions. 4. Proactive Supply-Chain Security for Over-the-Air Updates in Cloud-Based Cyber-Physical Systems 2.0. 5. Digital Twin-Based Security Validation for Over-the-Air Updates in Cloud-Enabled Cyber-Physical Systems. 6. Cyber-Physical Security and Resilience of Critical Infrastructures: The PRECINCT Ecosystem Platform. 7. Hierarchical Game-Theoretic Security Defense for Industrial Cyber-Physical Systems under Advanced Persistent Threats. 8. A Systems-Based Perspective on Vulnerability, Cybersecurity, and Resilience of Smart Cyber-Holonic Electric Power 2.0 Architecture. 9. Forecasting, Reliability Assessment, and Cyber-Physical Security Enhancement in Modern Power Systems Using Dynamic Line Rating and Machine Learning. 10. A Non-Parametric Statistical Technique for Anomaly Detection in Cyber-Physical Systems. 11. Resilience Management Framework for Reliable Exchange of Information in Healthcare Cyber-Physical Systems.