The System for Operational Monitoring and Analytics of Industry Cyber-Physical Systems Security in Fuel and Energy Domains Based on Anomaly Detection and Prediction Methods

Author:

Nashivochnikov N. V.,Bolshakov Alexander A.,Lukashin A. A.,Popov M.

Publisher

Springer International Publishing

Reference21 articles.

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4. D’yakonov, A., Golovina, A.: Identification of anomalies in the mechanisms of machine learning methods. Analytics and data management in data intensive areas. In: Proceedings of XIX International Conference DAMDID/RCDL 2017 (pp. 469–476) (2017)

5. Filonov, P., Lavrentyev, A., Vorontsov, A.: Multivariate industrial time series with cyber-attack simulation: fault detection using an lstm-based predictive data model. arXiv preprint arXiv:1612.06676 (2016)

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