Multi-classification of Android Applications Based on Convolutional Neural Networks

Google Play App Store, Huawei App Market, Xiaomi App Store, etc. are the main sources for users to download applications. The application category classification is usually based on the category specified by the developer when uploading or by analyzing the description provided by the developer. However, the process is easily manipulated by malicious developers to evade detection. With the popularity of Android phones, the number of Android applications has exploded. How to quickly and accurately classify applications automatically and improve management efficiency is crucial. This paper proposed a multi-classification framework for Android applications based on convolutional neural networks. By extracting multiple static features, we combined natural language processing and deep learning to achieve a classification accuracy of 99.9064%, and the training time was only 158s.