Privacy Assurance for Android Augmented Reality Apps
Xueling Zhang, Rocky Slavin, Xiaoyin Wang, Jianwei Niu · 2019
Augmented Reality (AR) is an emerging technique that enriches real environment with virtual information objects. Despite its wide application scenarios, AR techniques also raise concerns on its dependability, especially on the privacy protection of the users and of the people appearing in users' eyesight. In our research, we performed a case study on the mostly popular augmented reality Android app: Google Translate. In this paper, we report our major findings in the case study, and propose potential mechanism to detect unnecessary privacy leaks in Android augmented reality apps.