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- W4320802481 abstract "In this paper, a data-driven security detection approach is proposed in a simple manner. The detector is designed to deal with false data injection attacks suffered by industrial cyber-physical systems with unknown model information. First, the attacks are modeled from the perspective of the generalized plant mismatch, rather than the operating data being tampered. Second, some subsystems are selected to reduce the design complexity of the detector, and based on them, an output estimator with iterative form is presented in a theoretical way. Then, a security detector is constructed based on the proposed estimator and its cost function. Finally, the effectiveness of the proposed approach is verified by simulations of a Western States Coordinated Council 9-bus power system." @default.
- W4320802481 created "2023-02-15" @default.
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- W4320802481 date "2022-08-15" @default.
- W4320802481 modified "2023-09-24" @default.
- W4320802481 title "A Simple Approach to Data-driven Security Detection for Industrial Cyber-Physical Systems" @default.
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- W4320802481 doi "https://doi.org/10.1109/ccdc55256.2022.10033885" @default.
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