Secure Fusion Estimation and Control for Cyber-Physical Systems Under Malicious Attacks
Description
The book focuses on the issues of secure fusion estimation and control in cyber-physical systems under cyber-attacks, such as privacy protection under eavesdropping attacks, security fusion estimation under DoS and FDI attacks, and model-based and model-free security control under cyber-attacks. The comprehensive and systematic treatment of security protection in cyber-physical systems is one of the main features of the book, which is particularly suitable for readers interested in learning practical solutions for the security of cyber-physical systems. The book can benefit researchers, engineers and graduate students in the fields of control science and engineering, computer science, communication engineering, etc.
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Bo Chen received a B.S. degree in information and computing science from the Jiangxi University of Science and Technology, Ganzhou, China, in 2008, and a Ph.D. degree in control theory and control engineering from the Zhejiang University of Technology, Hangzhou, China, in 2014. He joined the Department of Automation, Zhejiang University of Technology, in 2018, where he is currently a Professor. He was a Research Fellow at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, from 2014 to 2015 and from 2017 to 2018. He was also a Postdoctoral Research Fellow at the Department of Mathematics, City University of Hong Kong, Hong Kong, from 2015 to 2017. Prof. Chen was a recipient of the outstanding thesis award of the Chinese Association of Automation in 2015 and also was a recipient of the First Prize of Natural Science of the Ministry of Education in 2020. His current research interests include information fusion and cyber-physical systems security. (Homepage: https://scholar.google.com.hk/citations?hl=zh-CN&user=NEuqd5UAAAAJ).
Tongxiang Li received a B.Eng. degree in automation from Chuzhou University, Chuzhou, China, in 2013, and thePh.D. degree in control science and engineering from the Zhejiang University of Technology, Hangzhou, China, in 2021. He was a visiting Ph.D. student with the Department of Computer Science, Brunel University London, U.K., from October 2019 to October 2020. He is currently a Post-Doctoral Scholar with the College of Information Engineering, Zhejiang University of Technology, Hangzhou, China. His current research interests include cyber-physical systems security and networked control systems. (Homepage: https://scholar.google.com.hk/citationsuser=TwPf6jEAAAAJ&hl=zh-CN&oi=sra)
Wen-An Zhang received a B.Eng. degree in automation and the Ph.D. degree in control theory and control engineering from the Zhejiang University of Technology, Hangzhou, China, in 2004 and 2010, respectively. Since 2010, he has been with the Zhejiang University of Technology, where he is now a Professor with the Department of Automation. Prof. Zhang was the recipient of an Alexander von Humboldt Fellowship from 2011 to 2012. His current research interests include cyber-physical systems security, networked control systems, multisensor information fusion estimation, and motion control. (Homepage: https://ieeexplore.ieee.org/author/37404212400)
Li Yu received a B.S. degree in control theory from Nankai University, Tianjin, China, in 1982, and the M.S. and Ph.D. degrees fromZhejiang University, Hangzhou, China, in 1988 and 1999, respectively. He is currently a Professor with the College of Information Engineering, Zhejiang University of Technology, Hangzhou, China. He has presided over 20 research projects. He has authored or co-authored five academic monographs, 1 textbook, and over 300 journal articles. He also has been authorized over 100 patents for invention and granted five scientific and technological awards. His current research interests include robust control, networked control systems, cyber-physical systems security, and information fusion. (Homepage: https://scholar.google.com.hk/citations?user=CnBn6FwAAAAJ&hl=zh-CN&oi=sra)
Content
Introduction.- Secure dimensionality reduction fusion estimation against eavesdroppers in cpss.- Distributed privacy preserving fusion estimation using homomorphic encryption.- fdi attack detection using fusion estimation methods.- Secure infinity fusion estimation against dual channel fdi attacks based on intermediate variable.-Distributed fusion estimation for nonlinear cpss under attacked control signals.- Networked nonlinear fusion estimation under dos attacks.- Active secure control against dos attacks using predictive control approach.- Security control against time delay attacks using switched system approach.- Adaptive output regulation for cpss under time delay attacks.- Attack resilient control against fdi attacks using sliding mode control.