R. Amri

Explainable Machine Learning for DDoS Attack Detection with Physical Network Validation

This study evaluates two explainable ML classifiers, XGBoost and Random Forest, for DDoS detection and examines whether their near-perfect offline accuracy translates into reliable physical-network operation, indicating that offline benchmarks alone are insufficient for validating IDS readiness.