Beyond Black Boxes: Permutation Feature Importance for Explainable Intrusion Detection and Model Optimization
Deep learning models for network intrusion detection have demonstrated remarkable accuracy, yet their black-box nature limits trust and adoption in security-critical environments. This paper addresses the interpretability gap by applying permutation feature importance analysis to identify the most influential featur...