Malware detection using Kernel Constrained Subspace Method

This paper proposes a novel approach based on subspace representation for malware detection, an important task of distinguishing between safe and malware (malicious) file classes. Our solution is to utilize a target software’s byte-level visualization (image pattern) and represent the two classes by... View More