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SmartDroid: an automatic system for revealing UI-based trigger conditions in android applications
Abstract
User interface (UI) interactions are essential to Android applications, as many Activities require UI interactions to be triggered. This kind of UI interactions could also help malicious apps to hide their sensitive behaviors (e.g., sending SMS or getting the user's device ID) from being detected by dynamic analysis tools such as TaintDroid, because simply running the app, but without proper UI interactions, will not lead to the exposure of sensitive behaviors. In this paper we focus on the challenging task of triggering a certain behavior through automated UI interactions. In particular, we propose a hybrid static and dynamic analysis method to reveal UI-based trigger conditions in Android applications. Our method first uses static analysis to extract expected activity switch paths by analyzing both Activity and Function Call Graphs, and then uses dynamic analysis to traverse each UI elements and explore the UI interaction paths towards the sensitive APIs. We implement a prototype system SmartDroid and show that it can automatically and efficiently detect the UI-based trigger conditions required to expose the sensitive behavior of several Android malwares, which otherwise cannot be detected with existing techniques such as TaintDroid.
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Cites
An Android Application Sandbox system for suspicious software detection
Bläsing, T., Batyuk, L., Schmidt, A.-D., Camtepe, S. A., & Albayrak, S. (2010) · 2010 5th International Conference on Malicious and Unwanted Software · doi:10.1109/malware.2010.5665792 · Cited by 452
Cited by
Android Security: A Survey of Issues, Malware Penetration, and Defenses
Faruki, P., Bharmal, A., Laxmi, V., Ganmoor, V., Gaur, M. S., Conti, M., & Rajarajan, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2386139 · Cited by 559
ANDRUBIS -- 1,000,000 Apps Later: A View on Current Android Malware Behaviors
Lindorfer, M., Neugschwandtner, M., Weichselbaum, L., Fratantonio, Y., Veen, V. V. D., & Platzer, C. (2014) · 2014 Third International Workshop on Building Analysis Datasets and Gathering Experience Returns for Security (BADGERS) · doi:10.1109/badgers.2014.7 · Cited by 304
Conceptual framework for the security of mobile health applications on Android platform
Hussain, M., Zaidan, A. A., Zidan, B. B., Iqbal, S., Ahmed, M. M., Albahri, O. S., & Albahri, A. S. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2018.03.005 · Cited by 122
Metadata
- Authors
- Zheng, C., Zhu, S., Dai, S., Gu, G., Gong, X., Han, X., & Zou, W.
- Venue
- Proceedings of the second ACM workshop on Security and privacy in smartphones and mobile devices
- Publisher
- ACM
- Published
- 2012-10-19
- Pages
- 93-104
- OpenAlex
- W2068583268
- Cited by
- 228
- References
- 1
- FWCI
- 21.16
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Zheng, C., Zhu, S., Dai, S., Gu, G., Gong, X., Han, X., & Zou, W. (2012). SmartDroid: an automatic system for revealing UI-based trigger conditions in android applications. Proceedings of the second ACM workshop on Security and privacy in smartphones and mobile devices. https://doi.org/10.1145/2381934.2381950
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