🛡️ Hybrid Anomaly-Based Intrusion Detection Framework | Detect 0-day & known attacks with ultra-low FPR 📉 using SHAP explainability | 🐳Docker-ready | Python + ML
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Updated
Apr 11, 2026 - Python
🛡️ Hybrid Anomaly-Based Intrusion Detection Framework | Detect 0-day & known attacks with ultra-low FPR 📉 using SHAP explainability | 🐳Docker-ready | Python + ML
🛡️ Generate synthetic data for intrusion detection systems using GANs to improve performance on NSL-KDD and UNSW-NB15 datasets.
Hybrid WCGAN-ACGAN framework for balanced network intrusion detection on NSL-KDD and UNSW-NB15 datasets using XGBoost, Decision Trees, CNN, and AutoGluon classifiers
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