Hybrid GAN IDS

This repository contains implementations of GAN-based synthetic data generation and classifiers for intrusion detection using NSL-KDD and UNSW-NB15 datasets.

Folder Structure

• CNN/ : CNN experiments for both datasets.
• nsl-kdd/ : GAN + classifiers experiments for NSL-KDD dataset.
• unsw-nb15/ : GAN + classifiers experiments for UNSW-NB15 dataset.

Refer to individual folder README.md files for dataset-specific instructions.

Dataset Links

• NSL-KDD: https://www.kaggle.com/datasets/defcom17/nslkdd
• UNSW-NB15: https://www.kaggle.com/datasets/amirrezaeian/unsw-nb15

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📂 Repository Structure

hybrid-gan-ids/
├── CNN/
│   ├── cnn.ipynb
│   └── README.md
│
├── nsl-kdd/
│   ├── acgan+decision-tree/
│   ├── wcgan+decision-tree/
│   ├── wcgan+xgboost/
│   └── README.md
│
├── unsw-nb15/
│   ├── acgan+decision-tree/
│   ├── wcgan+decision-tree/
│   ├── wcgan+xgboost/
│   └── README.md
│
└── README.md

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License

This project is licensed under the MIT License - see the LICENSE file for details.

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Note

This is a large project, so it might be confusing at first. Please check the README.md files in each folder carefully to understand the workflow and structure.

Thank you