Distinguishing malicious programs based on visualization and hybrid learning algorithms

Modern malware threats demand a robust and scalable detection system. This paper presents a novel proactive monitoring and analysis architecture called malware threat intelligence system (MTIS) to collect and classify real-world samples of modern malware families. Microsoft Window‘s portable executable (PE) files are systematically labeled using clustering and AVClass engine. These labeled malware samples are visualized into grayscale images,...