AppsPlayground: Automatic security analysis of smartphone applications

Vaibhav Rastogi*, Yan Chen, William Enck

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

244 Scopus citations

Abstract

Today's smartphone application markets host an ever in- creasing number of applications. The sheer number of ap- plications makes their review a daunting task. We propose AppsPlayground for Android, a framework that automates the analysis smartphone applications. AppsPlayground in- tegrates multiple components comprising different detection and automatic exploration techniques for this purpose. We evaluated the system using multiple large scale and small scale experiments involving real benign and malicious ap- plications. Our evaluation shows that AppsPlayground is quite effective at automatically detecting privacy leaks and malicious functionality in applications.

Original languageEnglish (US)
Title of host publicationCODASPY 2013 - Proceedings of the 3rd ACM Conference on Data and Application Security and Privacy
Pages209-220
Number of pages12
DOIs
StatePublished - Mar 18 2013
Event3rd ACM Conference on Data and Application Security and Privacy, CODASPY 2013 - San Antonio, TX, United States
Duration: Feb 18 2013Feb 20 2013

Publication series

NameCODASPY 2013 - Proceedings of the 3rd ACM Conference on Data and Application Security and Privacy

Other

Other3rd ACM Conference on Data and Application Security and Privacy, CODASPY 2013
CountryUnited States
CitySan Antonio, TX
Period2/18/132/20/13

Keywords

  • Android
  • Dynamic analysis
  • Malware
  • Privacy leakage

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

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  • Cite this

    Rastogi, V., Chen, Y., & Enck, W. (2013). AppsPlayground: Automatic security analysis of smartphone applications. In CODASPY 2013 - Proceedings of the 3rd ACM Conference on Data and Application Security and Privacy (pp. 209-220). (CODASPY 2013 - Proceedings of the 3rd ACM Conference on Data and Application Security and Privacy). https://doi.org/10.1145/2435349.2435379