Permission-based Analysis of Android Applications Using Categorization and Deep Learning Scheme

Abstract

As mobile devices grow in popularity, they have become indispensable in people's daily lives, keeping us connected to social networks, breaking news, and the entire Internet. While there are multiple competing platforms, Google's Android is currently the most popular operating system for mobile devices. This popularity has drawn attention of hackers as well. Thus far, research works have analysed Android permissions individually, which makes analysis complex and time consuming. In this work, we propose categorizing Android permissions based on Google's recommendation and perform LSTM analysis on data. The used datasets are Drebin and AndroZoo, which are the most complete and well-respected among research community. The experiment results show that LSTM achieved 91% of true positive rate.