Suad Shatti Azeez

SHAP-Guided Opcode Feature Selection for Lightweight and Explainable IoT Malware Detection — and What the Explanations Revealed About the Dataset

Opcode-frequency models detect IoT malware with near-perfect accuracy, yet typically with thousands of n-gram features and no account of which instructions drive a verdict. We propose a framework in which SHAP values are not a post-hoc report but the feature-selection criterion itself: a reference LightGBM model is exp...