Abstract:

In recent years, Android smart phones have developed rapidly, along with increasing developed software on the android platform. However, due to Android's open source property, the malware is growing in android platform. Currently, a large number of malicious software has been rapidly spread. Therefore, it is a must to protect Android smart phones. The main work of this paper are as follows: first, extract a large number of permissions from normal applications as well as malicious applications through static analysis. Secondly, draw histograms based on the permissions to show what permissions are most important. We pay much attention to finding out which permission is most frequent between benign application and malware. The statistical results reflect that there are many different priorities between benign application and malware. Lastly, depending on the information gain concept to estimate the risk which a application is a malware. We rank permissions based on information gain. In this way to form a effective and safe assessment mechanism. This paper provides a method for detecting malware. Through experimental results, the method has the opportunity to become malware detection and prevention mechanisms to better protect Android phone.

Key words: Android, malware detection, permission extraction, static analysis