Detecting new obfuscated malware variants: A lightweight and interpretable machine learning approach

Oladipo A. Madamidola, Felix Ngobigha, Adnane Ez-zizi

Machine learning has been successfully applied in developing malware detection systems, with a primary focus on accuracy, and increasing attention to reducing computational overhea…