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Amandroid: A Precise and General Inter-component Data Flow Analysis Framework for Security Vetting of Android Apps
Abstract
We propose a new approach to conduct static analysis for security vetting of Android apps, and built a general framework, called Amandroid for determining points-to information for all objects in an Android app in a flow- and context-sensitive way across Android apps components. We show that: (a) this type of comprehensive analysis is completely feasible in terms of computing resources needed with modern hardware, (b) one can easily leverage the results from this general analysis to build various types of specialized security analyses -- in many cases the amount of additional coding needed is around 100 lines of code, and (c) the result of those specialized analyses leveraging Amandroid is at least on par and often exceeds prior works designed for the specific problems, which we demonstrate by comparing Amandroid's results with those of prior works whenever we can obtain the executable of those tools. Since Amandroid's analysis directly handles inter-component control and data flows, it can be used to address security problems that result from interactions among multiple components from either the same or different apps. Amandroid's analysis is sound in that it can provide assurance of the absence of the specified security problems in an app with well-specified and reasonable assumptions on Android runtime system and its library.
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The OAuth 2.0 Authorization Framework
(2012) · doi:10.17487/rfc6749 · Cited by 1,383
Cited by
A Multimodal Deep Learning Method for Android Malware Detection Using Various Features
Kim, T., Kang, B., Rho, M., Sezer, S., & Im, E. G. (2019) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2018.2866319 · Cited by 518
Obfuscation-Resilient Privacy Leak Detection for Mobile Apps Through Differential Analysis
Continella, A., Fratantonio, Y., Lindorfer, M., Puccetti, A., Zand, A., Kruegel, C., & Vigna, G. (2017) · Proceedings 2017 Network and Distributed System Security Symposium · doi:10.14722/ndss.2017.23465 · Cited by 90
Metadata
- Authors
- Wei, F., Roy, S., Ou, X., & Robby
- Venue
- Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security
- Publisher
- ACM
- Published
- 2014-11-03
- Pages
- 1329-1341
- OpenAlex
- W2027538101
- Cited by
- 415
- References
- 1
- FWCI
- 31.62
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Wei, F., Roy, S., Ou, X., & Robby. (2014). Amandroid: A Precise and General Inter-component Data Flow Analysis Framework for Security Vetting of Android Apps. Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security. https://doi.org/10.1145/2660267.2660357
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