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-# Dynamic-time-warping-based-anomaly-detection-for-industrial-control-system
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+# Dynamic-time-warping-based-anomaly-detection-for-industrial-control-system
+
+This repository presents a comprehensive approach to anomaly detection in Industrial Control Systems (ICS), with a focus on the Secure Water Treatment DataSet (SWaT). The implementation incorporates cutting-edge machine learning techniques, including Isolation Forest and Autoencoder models, augmented by the powerful Dynamic Time Warping (DTW) algorithm.