Research Article
Anomaly Detection for Industrial Control System Based on Autoencoder Neural Network
Algorithm 1: Anomaly detection.
Input: | Input time series ; reconstruct time series ; | Predict time series ; error check threshold ; | Output: | Anomaly result ; | 1: Calculate sum of error by (2), (3), (4) | 2: Calculate smoothed error by EWMA methods (5) | 3: Calculate -power error by (8) | 4: Mark the anomaly by (9) | 5: Return the anomaly observations |
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Algorithm 1: Anomaly detection. |