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Code for the master project: use DRL for intrusion detection

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bz-hadjer/ids_drl

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To run the code included in this repo:

  1. Clone or download the repository.

  2. Download the Anaconda version suitable for your OS.

  3. Create a virtual environment with the same libraries we used by running:

$ conda env create -f conda_env.yml
$ conda activate ids_drl
  1. Launch jupyter notebbok and follow the notebooks in this order:

    1. Data Preprocessing
    2. Defining the environment
    3. Training and Results
  2. The final model that we found is in ids_drl_model.zip, you can skip training and load it directly.

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Code for the master project: use DRL for intrusion detection

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