A framework for static detection of privacy leaks in android applications

  • Authors:
  • Christopher Mann;Artem Starostin

  • Affiliations:
  • Modeling and Analysis of Information Systems TU Darmstadt, Germany;Modeling and Analysis of Information Systems TU Darmstadt, Germany

  • Venue:
  • Proceedings of the 27th Annual ACM Symposium on Applied Computing
  • Year:
  • 2012

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Abstract

We report on applying techniques for static information flow analysis to identify privacy leaks in Android applications. We have crafted a framework which checks with the help of a security type system whether the Dalvik bytecode implementation of an Android app conforms to a given privacy policy. We have carefully analyzed the Android API for possible sources and sinks of private data and identified exemplary privacy policies based on this. We demonstrate the applicability of our framework on two case studies showing detection of privacy leaks.