Detection methods for malware variant using API call related graphs

Abstract

Recently damages in users caused by malware have been increased. The malware presently propagated has been generated as variants by modifying it using various techniques and tools and that leads to significant increase in the number of malware. Thus, researches on various methods for detecting such malware have been conducted. In this paper, we proposed a method to detect malware variants through the measuring of similarity in control flow graphs related to API calls in malware.