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

Li, Yuzhe, Shi, Ling, Cheng, Peng, Chen, Jiming, Quevedo, Daniel E.·2015·IEEE Transactions on Automatic Control

Abstract

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.

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Metadata

Authors
Li, Y., Shi, L., Cheng, P., Chen, J., & Quevedo, D. E.
Venue
IEEE Transactions on Automatic Control
Published
2015-10
Volume
60
Issue
10
Pages
2831-2836
ISSN
  • 0018-9286 (ISSN-L)
  • 1558-2523
OpenAlex
W1651728063
Cited by
457
References
0
FWCI
30.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Jamming Attacks on Remote State Estimation in Cyber-Physical Systems: A Game-Theoretic Approach. https://app.cochat.ai/papers/10.1109/tac.2015.2461851
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Li, Y., Shi, L., Cheng, P., Chen, J., & Quevedo, D. E. (2015). Jamming Attacks on Remote State Estimation in Cyber-Physical Systems: A Game-Theoretic Approach. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.2015.2461851

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.