Implementation of Malware Detection System Based on Behavioral Sequences

Abstract

This paper proposes the detection mechanism and implementation of the malware detection system, which generates the behavioral sequences patterns of the malware groups and detects the known and unknown malware. The behavioral patterns of the malware groups are generated as using Multiple Sequence Alignment (MSA) algorithm with the API call sequences occurred from the execution of some malware samples. Especially the proposed system provides a security manager with intuitive and easy determination through our 3D visualization technique for both the analysis result obtained from our malware detection system and the behavioral sequence patterns of the malware groups.