1Muna Al-Saadi

CLEAR-IDS: Leakage-Free Adaptive Resampling and Diversity-Weighted Explainable Ensemble Learning for Network Intrusion Detection

Reliable network intrusion detection requires more than high aggregate accuracy because data leakage, severe class imbalance, unstable feature selection, redundant ensemble decisions, and poorly calibrated probabilities can produce optimistic yet operationally weak results. This study presents CLEAR-IDS, a cross-fold l...