Implementation of Private Base Station in Android Container Environment for Mobile Communication
Jaehyeon Yoon, Jungsoo Park, Souhwan Jung · 2019
Recent research discovered a noticeable number of intelligent malicious apps that could use various techniques to avoid analysis and detection. Because of that reason, there is a need for an analysis platform for efficient analysis. Existing works on bare-metal Android analysis such as real devices and Android container are still depending on real-world mobile network, which is costly. In this paper, we propose an idea of using private base station to support mobile features on bare-metal based dynamic analysis system. Our implementations show that private base station can be used to increase productivity in analyzing the intelligent app. With this model, we can solve the disadvantages of the existing analysis platform.