On the performance analysis of resilient networked control systems under replay attacks
Minghui Zhu, Sonia Martinez

TL;DR
This paper analyzes the impact of replay attacks on networked control systems and proposes a receding-horizon control variation to enhance resilience, along with resource allocation strategies.
Contribution
It introduces a novel control law variation to mitigate replay attacks and evaluates system performance degradation under such adversarial conditions.
Findings
Proposed a receding-horizon control method for replay attack resilience
Analyzed system performance degradation due to replay attacks
Investigated resource allocation problems for resilient control systems
Abstract
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.
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Taxonomy
TopicsSmart Grid Security and Resilience · Stability and Control of Uncertain Systems · Distributed Control Multi-Agent Systems
