On the performance analysis of resilient networked control systems under replay attacks
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Abstract (arXiv)
This paper studies a resilient control problem for discrete-time, linear time-invariant systems subject to state and input constraints. State measurements and control commands are transmitted over a communication network and could be corrupted by adversaries. In particular, we consider the replay attackers who maliciously repeat the messages sent from the operator to the actuator. We propose a variation of the receding-horizon control law to deal with the replay attacks and analyze the resulting system performance degradation. A class of competitive (resp. cooperative) resource allocation problems for resilient networked control systems is also investigated.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Jul 2013.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 1; 2025: 0; 2026: 1.
3 papers.
- 2021A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attackscited by 0
- 2024Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Contextcited by 0
- 2026Fundamental Limits of Man-in-the-Middle Attack Detection in Model-Free Reinforcement Learningcited by 0
- 2026Fundamental Limits of Man-in-the-Middle Attack Detection in Model-Free Reinforcement Learning29 Mar 2026
- 2024Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context20 Apr 2024
- 2021A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks1 Feb 2021