Intelligent Security Solutions for Cyber-Physical Systems (Chapman & Hall/CRC Cyber-Physical Systems)

This book provides 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.

Dr. Vandana Mohindru Sood is an Assistant Professor in the Department of Computer Science and Engineering (Artificial Intelligence) at Chitkara University Institute of Engineering & Technology, Chitkara University, Punjab, India since 2021. She has more than 11 years of experience in teaching and research. She completed her Ph.D. in Computer Science and engineering from Jaypee University of Information Technology, Himachal Pradesh, India. Dr. Vandana is a renowned researcher in the areas of the Internet of Things, Wireless Sensor Networks, Security, Blockchain, Cryptography, UAV, and Machine Learning. She has published more than thirty technical research papers in leading journals and conferences from IEEE, Elsevier, Springer, etc. She has 376 citations and 13 H-Index. She organized International Conferences and chaired various sessions during the IEEE & Springer conferences. She published 10 utility patents, 4 design patents granted, and edited 3 books.

Prof. Yashwant Singh is a Professor & Head of the Department of Computer Science & Information Technology at the Central University of Jammu since 2017. He completed his Ph.D. at Himachal Pradesh University Shimla. His research interests lie in the Internet of Things, Wireless Sensor Networks, and ICS/SCADA Cyber Security, ranging from theory to design to implementation. He has collaborated actively with researchers in several other disciplines of Computer Science, particularly Machine Learning, Electrical Engineering, and Cyber-Physical Systems. He has served on thirty International Conferences and Workshop Program Committees members. He currently serves as coordinator of Kalam Centre for Science and Technology (KCST), Computational System Security System vertical at Central University of Jammu established by DRDO. Yashwant has published more than 80 research articles in International Journals, International Conferences, and Book Chapters of repute. He has 1468 citations and 20 H-Index. He is executing a Research Project on IoT Vulnerability worth Rs.46.322 Lakhs sponsored by DRDO and another project on Cyber Security worth 12.19 Lakhs sponsored by the National Commission for Women. He is a Visiting Professor at Jan Wyzykowski University, Polkowice, Poland.

Prof. Bharat Bhargava is a professor of the Department of Computer Science with a courtesy appointment in the School of Electrical & Computer Engineering at Purdue University. Professor Bhargava is conducting research on security and privacy issues in distributed systems. Professor Bhargava is a recipient of seven best paper awards at various international computer science conferences. Professor Bhargava is a Fellow of the Institute of Electrical and Electronics Engineers and of the Institute of Electronics and Telecommunication Engineers. He serves on seven editorial boards of international journals. He also served on the IEEE Computer Society on Technical Achievement award and Fellow committees. Professor Bhargava is the founder of the IEEE Symposium on Reliable and Distributed Systems, IEEE Conference on Digital Library, and the ACM Conference on Information and Knowledge Management.

Dr. Sushil Kumar Narang is an Associate Professor and Dean in the Department of Computer Science and Engineering (Artificial Intelligence) at Chitkara University Institute of Engineering & Technology, Chitkara University, Punjab, India. He completed his Ph.D. at Panjab University, Chandigarh, India. His research on "Feature Extraction and Neural Network Classifiers for Optical Character Recognition for Good Quality Handwritten Gurmukhi and Devnagari Characters" focused on various image processing, machine as well as deep learning algorithms. His research interests lie in programming languages, ranging from theory to design to implementation, Image Processing, Data Analytics, and Machine Learning. Dr. Sushil has published technical research papers in leading journals and conferences from IEEE, Elsevier, Springer, etc. He has collaborated actively with researchers in several other disciplines of computer science, particularly Machine Learning on real-world use cases. He is a certified Deep Learning Engineer.