An assistive system for Android Malware analysis to increase malware analysis efficiency

Abstract

After the comprehensive survey of existing malware analysis products in the market, the survey result has shown that an assistive tool is needed to help researchers to automatically predict an Android malware in a given large number of applications. Due to a large volume of Android applications being developed and distributed every day through third party application stores, it is difficult to detect a set of Android applications which might potentially indicate malicious behaviors. This situation results in high inefficiency in performing the manual analysis of applications that are uploaded to Android application stores. This research focuses on creating an Android malware analysis lab environment with assistive services that helps the prediction of malicious applications from a given large set of both benign and malicious Android applications. This lab environment is ideal for third party Android application stores and malware researchers in performing Android malware analysis on such an application set. © 2017 IEEE.