Jamming Attacks on Remote State Estimation in Cyber-Physical Systems: A Game-Theoretic Approach

• Published in: IEEE transactions on automatic control Vol. 60; no. 10; pp. 2831 - 2836
• Main Authors: Yuzhe Li, Ling Shi, Peng Cheng, Jiming Chen, Quevedo, Daniel E.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2015; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Channels; Computer crime; Cyber-Physical Systems; DoS Jamming Attack; Game Theory; Games; Interactive; Jamming; Linear programming; Markov Chain; Nash equilibrium; Optimization; Remote sensors; Remote State Estimation; Sensors; State estimation; Strategy; Markov chain; DoS jamming attack; remote state estimation; Cyber-physical systems (CPS); game theory
• ISSN: 0018-9286; 1558-2523
• DOI: 10.1109/TAC.2015.2461851

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.