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- W4316658087 abstract "Various problems inevitably arise in cyber-physical systems, such as equipment failure, performance degradation, etc. Untimely detection of an abnormal state caused by a cyber-attack or a failure to operate devices in a cyber-physical system can lead to severe losses for the entire system. This paper proposes a method based on a deep bidirectional gated recurrent unit and variational autoencoder model to detect anomalies in a cyber-physical system. Experiments on a real dataset have shown the effectiveness of the proposed method in detecting anomalies in a cyber-physical system. Comparison with known methods showed the most accurate results according to the precision, recall, and F-measure metrics and amounted to 99.87%, 77.39%, and 87.20%, respectively." @default.
- W4316658087 created "2023-01-17" @default.
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- W4316658087 date "2022-10-12" @default.
- W4316658087 modified "2023-10-18" @default.
- W4316658087 title "Anomaly Detection in Cyber-Physical Systems based on BiGRU-VAE" @default.
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- W4316658087 doi "https://doi.org/10.1109/aict55583.2022.10013581" @default.
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