Unpublished conference/Abstract (Scientific congresses, symposiums and conference proceedings)
FlowDroid: Precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for android apps
Arzt, S.; Rasthofer, S.; Fritz, C. et al.
2014ACM SIGPLAN conference on Programming Language Design and Implementation (PLDI 2014)
 

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Abstract :
[en] Today's smartphones are a ubiquitous source of private and confidential data. At the same time, smartphone users are plagued by carelessly programmed apps that leak important data by accident, and by malicious apps that exploit their given privileges to copy such data intentionally. While existing static taint-analysis approaches have the potential of detecting such data leaks ahead of time, all approaches for Android use a number of coarse-grain approximations that can yield high numbers of missed leaks and false alarms. In this work we thus present FLOWDROID, a novel and highly precise static taint analysis for Android applications. A precise model of Android's lifecycle allows the analysis to properly handle callbacks invoked by the Android framework, while context, flow, field and object-sensitivity allows the analysis to reduce the number of false alarms. Novel on-demand algorithms help FLOWDROID maintain high efficiency and precision at the same time. We also propose DROIDBENCH, an open test suite for evaluating the effectiveness and accuracy of taint-analysis tools specifically for Android apps. As we show through a set of experiments using SecuriBench Micro, DROIDBENCH, and a set of well-known Android test applications, FLOWDROID finds a very high fraction of data leaks while keeping the rate of false positives low. On DROIDBENCH, FLOWDROID achieves 93% recall and 86% precision, greatly outperforming the commercial tools IBM AppScan Source and Fortify SCA. FLOWDROID successfully finds leaks in a subset of 500 apps from Google Play and about 1,000 malware apps from the VirusShare project. Copyright © 2014 ACM.
Disciplines :
Computer science
Author, co-author :
Arzt, S.;  EC SPRIDE, Technische Universität Darmstadt, Germany
Rasthofer, S.;  EC SPRIDE, Technische Universität Darmstadt, Germany
Fritz, C.;  EC SPRIDE, Technische Universität Darmstadt, Germany
Bodden, E.;  EC SPRIDE, Technische Universität Darmstadt, Germany
Bartel, A.;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Klein, Jacques ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Le Traon, Yves ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Octeau, D.;  Department of Computer Science and Engineering, Pennsylvania State University, United States
McDaniel, P.;  Department of Computer Science and Engineering, Pennsylvania State University, United States
Language :
English
Title :
FlowDroid: Precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for android apps
Publication date :
June 2014
Number of pages :
259-269
Event name :
ACM SIGPLAN conference on Programming Language Design and Implementation (PLDI 2014)
Event date :
06-2014
Audience :
International
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since 04 March 2015

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