NDLI: Vetting undesirable behaviors in android apps with permission use analysis

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Vetting undesirable behaviors in android apps with permission use analysis

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Vetting undesirable behaviors in android apps with permission use analysis

Content Provider	ACM Digital Library
Author	Gu, Guofei Xu, Bingquan Yang, Zhemin Zang, Binyu Yang, Min Zhang, Yuan Ning, Peng Wang, X. Sean
Abstract	Android platform adopts permissions to protect sensitive resources from untrusted apps. However, after permissions are granted by users at install time, apps could use these permissions (sensitive resources) with no further restrictions. Thus, recent years have witnessed the explosion of undesirable behaviors in Android apps. An important part in the defense is the accurate analysis of Android apps. However, traditional syscall-based analysis techniques are not well-suited for Android, because they could not capture critical interactions between the application and the Android system. This paper presents VetDroid, a dynamic analysis platform for reconstructing sensitive behaviors in Android apps from a novel permission use perspective. VetDroid features a systematic framework to effectively construct permission use behaviors, i.e., how applications use permissions to access (sensitive) system resources, and how these acquired permission-sensitive resources are further utilized by the application. With permission use behaviors, security analysts can easily examine the internal sensitive behaviors of an app. Using real-world Android malware, we show that VetDroid can clearly reconstruct fine-grained malicious behaviors to ease malware analysis. We further apply VetDroid to 1,249 top free apps in Google Play. VetDroid can assist in finding more information leaks than TaintDroid, a state-of-the-art technique. In addition, we show how we can use VetDroid to analyze fine-grained causes of information leaks that TaintDroid cannot reveal. Finally, we show that VetDroid can help identify subtle vulnerabilities in some (top free) applications otherwise hard to detect.
Starting Page	611
Ending Page	622
Page Count	12
File Format	PDF
ISBN	9781450324779
DOI	10.1145/2508859.2516689
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-11-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Android security Android behavior representation} Vetting undesirable behaviors Permission use analysis
Content Type	Text
Resource Type	Article

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