78 citations · 198 across the 3 of their papers we have counts for
3 papers
Anomaly Detection for Water Treatment System based on Neural Network with Automatic Architecture Optimization
Dmitry Shalyga, Pavel Filonov, Andrey Lavrentyev
We continue to develop our neural network (NN) based forecasting approach to anomaly detection (AD) using the Secure Water Treatment (SWaT) industrial control system (ICS) testbed…
RNN-based Early Cyber-Attack Detection for the Tennessee Eastman Process
Pavel Filonov, Fedor Kitashov, Andrey Lavrentyev
An RNN-based forecasting approach is used to early detect anomalies in industrial multivariate time series data from a simulated Tennessee Eastman Process (TEP) with many cyber-att…
Multivariate Industrial Time Series with Cyber-Attack Simulation: Fault Detection Using an LSTM-based Predictive Data Model
Pavel Filonov, Andrey Lavrentyev, Artem Vorontsov
We adopted an approach based on an LSTM neural network to monitor and detect faults in industrial multivariate time series data. To validate the approach we created a Modelica mode…