ANDROIDGYNY: Reviewing clustering techniques for Android malware family classification

Thousands of malicious applications (apps) are daily created, modified with the aid automation tools, and released on World Wide Web. Several techniques have been applied over years to identify whether an APK is or not. The use these intends unknown malware mainly by calculating similarity a sample previously grouped, already known families apps. Thus, high rates accuracy would enable several countermeasures: from further quick detection development vaccines for reverse engineering new variants. However, most literature consists limited experiments—either short-term offline based exclusively well-known apps’ families. In this paper, we explore phylogeny, term borrowed biology, consisting genealogical study relationship between elements Also, investigate clustering mobile classification discuss how researchers setting up their experiments.