AppsPlayground: Automatic security analysis of smartphone applications

Vaibhav Rastogi; Yan Chen; William Enck

doi:10.1145/2435349.2435379

AppsPlayground: Automatic security analysis of smartphone applications

Vaibhav Rastogi^*, Yan Chen, William Enck

^*Corresponding author for this work

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	CODASPY 2013 - Proceedings of the 3rd ACM Conference on Data and Application Security and Privacy
Pages	209-220
Number of pages	12
DOIs	https://doi.org/10.1145/2435349.2435379
State	Published - Mar 18 2013
Event	3rd ACM Conference on Data and Application Security and Privacy, CODASPY 2013 - San Antonio, TX, United States Duration: Feb 18 2013 → Feb 20 2013

Publication series

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

Other

Other	3rd ACM Conference on Data and Application Security and Privacy, CODASPY 2013
Country	United States
City	San Antonio, TX
Period	2/18/13 → 2/20/13

Keywords

Android
Dynamic analysis
Malware
Privacy leakage

ASJC Scopus subject areas

Computer Science Applications
Software

Access to Document

10.1145/2435349.2435379

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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

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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.",

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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. CODASPY 2013 - Proceedings of the 3rd ACM Conference on Data and Application Security and Privacy, pp. 209-220, 3rd ACM Conference on Data and Application Security and Privacy, CODASPY 2013, San Antonio, TX, United States, 2/18/13. https://doi.org/10.1145/2435349.2435379

AppsPlayground : Automatic security analysis of smartphone applications. / Rastogi, Vaibhav; Chen, Yan; Enck, William.

CODASPY 2013 - Proceedings of the 3rd ACM Conference on Data and Application Security and Privacy. 2013. p. 209-220 (CODASPY 2013 - Proceedings of the 3rd ACM Conference on Data and Application Security and Privacy).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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