Data-Driven Android Malware Intelligence with Machine Learning through Static Analysis

This study proposes a series of novel methods to analyze the Android malware, including a light-weight method to identify those Android malware with high impact, alternative research problem on automatically identifying the security or privacy involved capabilities of any detected Android malware, and Natural Language Processing based detection methods.