WhiteHatCyberus / Deep-Learning-Evaluation-of-IDS-Datasets

Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.

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Deep-Learning-Evaluation-of-IDS-Datasets

Deep Model Intrusion Detection Evaluation of NSL KDD and CIC IDS 2018 datasets.

Usage

  • install jupyter-notebook.
pip install jupyter-notebook
  • Download the .ipynb files via git clone or download zip.
git clone https://github.com/WhiteHatCyberus/Deep-Learning-Evaluation-of-IDS-Datasets.git
  • Now run the jupyter-notebook command in the directory where the extracted zip file is found.
  • All componenets of the jupyter-notebooks are all found in the folder.

Credits

Every developer deserves credit for the work and time they put in.

Thank you Joule Effect for your contribution in the evaluation of Deep Learning models on NSL-KDD IDS dataset.

About

Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.

License:MIT License


Languages

Language:Jupyter Notebook 92.5%Language:PureBasic 7.5%