About using of autoencoders for anomaly detection in cyber-physical systems

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Using of autoencoder for anomaly detection in cyber-physical systems was investigated. Some popular methods and datasets were observed. Suggested approach was applied to data and task from SWAT dataset. Achieved results was compared with existing baselines.

Deep learning, autoencoders, anomaly detection in technological process, time series

Короткий адрес: https://sciup.org/147245540

IDR: 147245540   |   DOI: 10.17072/1993-0550-2022-4-89-94

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