A novel pattern recognition system for detecting Android malware by analyzing suspicious boot sequences

This paper introduces a malware detection system for smartphones based on studying the dynamic behavior of suspicious applications. The main goal is to prevent the installation of the malicious software on the victim systems. The approach focuses on identifying malware addressed against the Android platform. For that purpose, only the system calls performed during the boot process of the recently installed applications are studied. Thereby the amount of information to be considered is reduced, since only activities related with their …

android android malware applications boot cs.cr detection dynamic goal installation main malicious malicious software malware malware detection novel platform recognition smartphones software system systems victim