GitHub - ExplorerLu1024/MIMAD-GAN

MIM-GAN-based Anomaly Detection for Multivariate Time Series Data

Python3
Please download the SWaT and WADI datasets in the data folder before run RGAN.py and AD.py
To train the model:

""" python RGAN.py --settings_file swat """
To do anomaly detection:

""" python AD.py --settings_file swat_test"""

We apply our method on the SWaT and WADI datasets in the paper, however, we didn't upload the data in this repository. Please refer to(https://itrust.sutd.edu.sg/testbeds/secure-water-treatment-swat/， https://itrust.sutd.edu.sg/) and send request to iTrust is you want to try the data.

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
__pycache__		__pycache__
differential_privacy		differential_privacy
experiments/settings		experiments/settings
AD.py		AD.py
AD_Invert.py		AD_Invert.py
DR_discriminator.py		DR_discriminator.py
MIMAD-GANs-master.zip		MIMAD-GANs-master.zip
README.md		README.md
RGAN.py		RGAN.py
data_utils.py		data_utils.py
eugenium_mmd.py		eugenium_mmd.py
eval.py		eval.py
mmd.py		mmd.py
mod_core_rnn_cell_impl.py		mod_core_rnn_cell_impl.py
model.py		model.py
plotting.py		plotting.py
tf_ops.py		tf_ops.py
utils.py		utils.py