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Reachability Analysis of Cyber-Physical Systems Under Stealthy Attacks

Qirui Zhang, Kun Liu, Zhong‐Hua Pang, Yuanqing Xia, Tao Liu

2020IEEE Transactions on Cybernetics41 citationsDOI

Abstract

This article studies the reachable set of cyber-physical systems subject to stealthy attacks with the Kullback-Leibler divergence adopted to describe the stealthiness. The reachable set is defined as the set in which both the system state and the estimation error of the Kalman filter reside with a certain probability. The necessary and sufficient conditions of the reachable set being unbounded are given for the finite and infinite time cases, respectively. When the reachable set is bounded, an ellipsoidal outer approximation is obtained by solving a convex optimization problem. An application of this approximation to the safety evaluation is also given. A numerical simulation of an unmanned ground vehicle is presented to demonstrate the effectiveness of the proposed approach.

Topics & Concepts

ReachabilityEllipsoidDivergence (linguistics)Cyber-physical systemSet (abstract data type)Bounded functionComputer scienceFilter (signal processing)Regular polygonKalman filterObservabilityOptimization problemApplied mathematicsState (computer science)Mathematical optimizationMathematicsControl theory (sociology)AlgorithmMathematical analysisArtificial intelligencePhysicsGeometryPhilosophyComputer visionProgramming languageLinguisticsAstronomyControl (management)Operating systemSmart Grid Security and ResilienceInfrastructure Resilience and Vulnerability AnalysisRisk and Safety Analysis
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