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• W2897929540 abstract "More and more Cyber-Physical systems (CPSs) providing service for many critical infrastructures have been connected to the Internet, which also attracts more attention of false data injection attacks. Since CPSs require higher performance and high-speed sampling demand, it needs to discover anomalies faster and more effectively to ensure normal operation, when it has been attacked. In this paper, through studying the different discretization methods, we choose a delta operator Kalman Filter and Euclidean detector to detect the false data injection attack in sensors of CPSs and solve the problem of high-speed sampling oscillation. Besides, a false data injection attack model is designed to test and compare with related algorithm. And the result turns out that the delta operator Kalman Filter and Euclidean detector have a robust performance." @default.
• W2897929540 created "2018-10-26" @default.
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• W2897929540 date "2018-07-01" @default.
• W2897929540 modified "2023-10-18" @default.
• W2897929540 title "Detecting False Data Injection Attack on Cyber-Physical System Based on Delta Operator" @default.
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• W2897929540 doi "https://doi.org/10.23919/chicc.2018.8483314" @default.
• W2897929540 hasPublicationYear "2018" @default.
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