This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.
machine-learning deep-learning feature-selection cybersecurity hyperparameter-optimization ids feature-engineering network-automation hyperparameter-tuning concept-drift automl intrusion-detection-system automated-machine-learning data-streams adversarial-machine-learning python-examples data-stream-processing adversarial-attacks 6g zero-touch-network
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Updated
Mar 13, 2025 - Jupyter Notebook