Android Malware Detection Framework Based on Static Analysis

Abstract

Mobile devices have gained tremendous popularity over the last few years. The most popular usage is the smart phones. They are accepted and admired by many mainly because they are capable of providing services such as banking, social network, etc all on the go. There are many operating systems used in mobile devices. Among them, IOS and Android systems are the most acceptable technologies. Android platform is the fastest growing market in smart phone operating systems to date. Therefore, the malicious applications targeting the Android system has exploded in recent years. The android malware detection framework is established by the static ways by analyzing the android permission and signature of source codes. For signature based detection, it is used clone detection technique. For permission-based detection, it is detected by using machine learning classifier. By combining with these two approach, this framework improves the performance of the malware detection.