报告内容摘要

We consider security issues in remote state estimation of Cyber-Physical Systems (CPS). A sensor node communicates with a remote estimator through a wireless channel which may be jammed by an external attacker. With energy constraints for both the sensor and the attacker, the interactive decision making process of when to send and when to attack is studied. We formulate a game-theoretic framework and prove that the optimal strategies for both sides constitute a Nash equilibrium of a zero-sum game. To tackle the computation

complexity issues, we present a constraint-relaxed problem and provide corresponding solutions using Markov chain theory.

报告人简介

Dr. Ling Shi received the B.S. degree in electrical and electronic engineering from Hong Kong University of Science and Technology, Kowloon, Hong Kong, in 2002 and the Ph.D. degree in control and dynamical systems from California Institute of Technology, Pasadena, CA, USA, in 2008. He is currently an associate professor at the Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology. His research interests include networked control systems, wireless sensor networks, event-based state estimation and sensor scheduling, and smart energy systems. He has been serving as a subject editor for International Journal of Robust and Nonlinear Control from 2015. He also served as a guest associate editor for a special issue on Secure Detection, Estimation, and Control in Cyber-Physical Systems in the IEEE Transactions on Industrial Informatics in 2015.

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