On the performance analysis of resilient networked control systems under replay attacks

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.