Combining Switching Mechanism with Re-Initialization and Anomaly Detection for Resiliency of Cyber-Physical Systems
Hao Fu, Prashanth Krishnamurthy, and Farshad Khorrami

TL;DR
This paper introduces a resilient control strategy for cyber-physical systems that combines multi-controller switching, periodic re-initialization, and anomaly detection to improve attack resilience without sacrificing system redundancy.
Contribution
It proposes a novel multi-controller switching approach with re-initialization and attack detection, maintaining system redundancy and resilience even against stealthy attacks.
Findings
The strategy preserves CPS redundancy during attacks.
Controllers are re-initialized periodically to remove attacks.
The approach remains effective even if attack detection fails.
Abstract
Cyber-physical systems (CPS) play a pivotal role in numerous critical real-world applications that have stringent requirements for safety. To enhance the CPS resiliency against attacks, redundancy can be integrated in real-time controller implementations by designing strategies that switch among multiple controllers. However, existing switching strategies typically overlook remediation measures for compromised controllers, opting instead to simply exclude them. Such a solution reduces the CPS redundancy since only a subset of controllers are used. To address this gap, this work proposes a multi-controller switching strategy with periodic re-initialization to remove attacks. Controllers that finish re-initialization can be reused by the switching strategy, preserving the CPS redundancy and resiliency. The proposed switching strategy is designed to ensure that at each switching moment, a…
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Taxonomy
TopicsAnomaly Detection Techniques and Applications · Smart Grid Security and Resilience · Network Security and Intrusion Detection
MethodsSparse Evolutionary Training
