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 18, 2024 - Jupyter Notebook