Springer Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems (Wireless Networks)

This book discusses cybersecurity issues of smart grid cyber-physical systems, focusing on the detection techniques against false data injection attacks. The authors discuss passive and proactive techniques that combat and mitigate two categories of false data injection attacks, false measurement data injections and false command data injections in smart grid cyber-physical systems. These techniques are easy to follow for either professionals or beginners. With this book, readers can quickly get an overview of this topic and get ideas of new solutions for false data injections in smart grid cyber-physical systems. Readers include researchers, academics, students, and professionals. Presents a comprehensive summary for the detection techniques of false data injection attacks in smart grid cyber-physical systems;  Reviews false data injections for either measurement data or command data;  Analyzes passive and proactive approaches to smart grid cyber-physical systems. From the Back Cover This book discusses cybersecurity issues of smart grid cyber-physical systems, focusing on the detection techniques against false data injection attacks. The authors discuss passive and proactive techniques that combat and mitigate two categories of false data injection attacks, false measurement data injections and false command data injections in smart grid cyber-physical systems. These techniques are easy to follow for either professionals or beginners. With this book, readers can quickly get an overview of this topic and get ideas of new solutions for false data injections in smart grid cyber-physical systems. Readers include researchers, academics, students, and professionals. Presents a comprehensive summary for the detection techniques of false data injection attacks in smart grid cyber-physical systems;  Reviews false data injections for either measurement data or command data;  Analyzes passive and proactive approaches to smart grid cyber-physical systems. About the Author Beibei Li is currently an associate professor at the College of Cybersecurity, Sichuan University, P.R. China. He received his B.E. degree (awarded Outstanding Graduate) in communication engineering from Beijing University of Posts and Telecommunications, P.R. China, in 2014 and his Ph.D. degree (awarded Full Research Scholarship) from the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, in 2019. He was invited as a visiting researcher at the Faculty of Computer Science, University of New Brunswick, Canada, from March to August 2018 and also the research group of NEtworked Sensing and Control (NESC), College of Control Science and Engineering, Zhejiang University, P.R. China, from February to April 2019. His research interests span several areas in security and privacy issues on cyber-physical systems (e.g., smart grids, industrial control systems, intelligent transportation systems, etc.), with a focus on intrusion detection techniques, artificial intelligence, and applied cryptography. He is serving or has served as a Publication Co-Chair or a TPC member for several international conferences, including IEEE ICC, IEEE GLOBECOM, IEEE ICNC, PST, WCSP, and ML4CS, etc. His works have been published in IEEE Transactions on Information Forensics and Security, IEEE Transactions on Industrial Informatics, ACM Transactions on Cyber-Physical Systems, IEEE Internet of Things Journal, IFAC Automatica, Information Sciences, IEEE ICC, and IEEE GLOBECOM, etc. Rongxing Lu is currently an associate professor at the Faculty of Computer Science (FCS), University of New Brunswick (UNB), Canada, where he joined as an assistant professor in August 2016. Before that, he worked as an assistant professor at the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore from April 2013 to August 2016. Rongxing Lu worked as a Postdoctoral Fellow at the