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.
