A Performance-Sensitive Malware Detection System on Mobile Platform

Abstract

Apart from the Android apps provided by the official market, apps from unofficial markets and third-party resources are always causing a serious security threat to end-users. Because of the overhead of the network, uploading the app to the server for detection is a time-consuming task. In addition, the uploading process also suffers from the threat of attackers. Consequently, a last line of defense on Android devices is necessary and much-needed. To address these problems, we propose an effective Android malware detection system, leveraging deep learning to provide a real-time secure and fast response environment on Android devices.