cbhua/swat-preprocess
A tool for data preprocess on iTrust SWaT dataset.
Provides visualization with anomaly annotation, spectral residual preprocessing to reduce cyclic redundancy in sensor data, and PyTorch dataset utilities for time-series anomaly detection models. Includes Excel-based attack metadata tools for flexible temporal filtering and covers the SWaT 2015 dataset with normalization, format conversion, and sample generation pipelines exposed through Jupyter notebooks and reusable Python modules.
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Jupyter Notebook
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Last pushed
Oct 11, 2022
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