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Electrical Engineering and Systems Science > Systems and Control

arXiv:2212.04396 (eess)
[Submitted on 8 Dec 2022]

Title:On Attack Detection and Identification for the Cyber-Physical System using Lifted System Model

Authors:Dawei Sun, Minhyun Cho, Inseok Hwang
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Abstract:Motivated by the safety and security issues related to cyber-physical systems with potentially multi-rate, delayed, and nonuniformly sampled measurements, we investigate the attack detection and identification using the lifted system model in this paper. Attack detectability and identifiability based on the lifted system model are formally defined and rigorously characterized in a novel approach. The method of checking detectability is discussed, and a residual design problem for attack detection is formulated in a general way. For attack identification, we define and characterize it by generalizing the concept of mode discernibility for switched systems, and a method for identifying the attack is discussed based on the theoretical analysis. An illustrative example of an unmanned aircraft system (UAS) is provided to validate the main results.
Comments: It is the preprint of a paper submitted to Automatica
Subjects: Systems and Control (eess.SY); Dynamical Systems (math.DS)
Cite as: arXiv:2212.04396 [eess.SY]
  (or arXiv:2212.04396v1 [eess.SY] for this version)
  https://doi.org/10.48550/arXiv.2212.04396

Submission history

From: Dawei Sun [view email]
[v1] Thu, 8 Dec 2022 16:54:32 UTC (1,584 KB)
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