Nguyen Huu Hoang
ABSTRACT
Android, the modern operating system for smartphones, together with its millions of apps, has become an important part of human life. There are many challenges to analyzing them. It is important to model the mobile systems in order to analyze the behaviors of apps accurately. These apps are built on top of interactions with Android systems. We aim to automatically build abstract models of the mobile systems and thus automate the analysis of mobile applications and detect potential issues (e.g., leaking private data, causing unexpected crashes, etc.). The expected results will be the accuracy models of actual various versions of Android system and apps for top apps selected from Google Play Store.
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Digital Library
- Li, L., Bartel, A., Bissyandé, T. F., Klein, J., Le Traon, Y., Arzt, S., ... & McDaniel, P. (2015, May). IccTA: Detecting inter-component privacy leaks in Android apps. In Proceedings of the 37th International Conference on Software Engineering-Volume 1 (pp. 280--291). IEEE Press. Google ScholarDigital Library
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Index Terms
- Poster: Android Whole-System Control Flow Analysis for Accurate Application Behavior Modeling
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