H. J.

Explainable AI for Malware Detection: Feature Importance Analysis Using SHAP and Machine Learning

A machine learning-based malware detection framework using features extracted from Windows Portable Executable (PE) files is presented and the SHAP-based feature importance approach helps identify the most influential features responsible for malware detection while also reducing model complexity and computational cost.