Explainable Hybrid Feature Selection for Intrusion Detection in Internet of Medical Things Environments
An intrusion detection system that addresses these constraints through feature selection through a Pearson correlation filter and a hybrid strategy that combines model-based feature importance with SHAP attribution to pick a compact subset, on which to train Random Forest and LightGBM classifiers.