Morteza Zakeri

Enhancing malware detection reliability in non-executable files using confidence score prediction

This article proposes a learning-based malware detection approach including two complementary parts, the development of binary classifiers, on an enriched dataset of related files, with an extended feature set to achieve high accuracy.