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- W4312319954 abstract "Security issues of industrial cyber-physical systems (ICPSs) are becoming increasingly serious. Detecting and then isolating cyber-attacks promptly and effectively serves as one of the important means to secure the controlled physical processes. Anomaly detection is a representative class of detection techniques, both in the control and information security domains. Mode division-based anomaly detection is a novel approach proposed by the authors recently, which is evaluated to have effective detection performance for three typical cyber-attacks on a self-built hardware experimental platform. In this paper, we report the follow-up of the detector in terms of theoretical aspects. Specifically, we give the convergence of the detector in the security mode of ICPSs, as well as the detectability in the presence of stealth and undisguised attacks in the form of theorems. Some simulation results are given to evaluate the correctness of these theoretical analyses." @default.
- W4312319954 created "2023-01-04" @default.
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- W4312319954 date "2022-07-25" @default.
- W4312319954 modified "2023-09-26" @default.
- W4312319954 title "On the Detectability of the Mode Division-based Anomaly Detector in Industrial Cyber-physical Systems" @default.
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- W4312319954 doi "https://doi.org/10.23919/ccc55666.2022.9902218" @default.
- W4312319954 hasPublicationYear "2022" @default.
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