research-article

Understanding the Purpose of Permission Use in Mobile Apps

Authors:

Yuvraj Agarwal,

Jason I. HongAuthors Info & Claims

ACM Transactions on Information Systems (TOIS), Volume 35, Issue 4

Article No.: 43, Pages 1 - 40

https://doi.org/10.1145/3086677

Published: 11 July 2017 Publication History

Abstract

Mobile apps frequently request access to sensitive data, such as location and contacts. Understanding the purpose of why sensitive data is accessed could help improve privacy as well as enable new kinds of access control. In this article, we propose a text mining based method to infer the purpose of sensitive data access by Android apps. The key idea we propose is to extract multiple features from app code and then use those features to train a machine learning classifier for purpose inference. We present the design, implementation, and evaluation of two complementary approaches to infer the purpose of permission use, first using purely static analysis, and then using primarily dynamic analysis. We also discuss the pros and cons of both approaches and the trade-offs involved.

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cover image ACM Transactions on Information Systems

ACM Transactions on Information Systems Volume 35, Issue 4

Special issue: Search, Mining and their Applications on Mobile Devices

October 2017

461 pages

ISSN:1046-8188

EISSN:1558-2868

DOI:10.1145/3112649

Editor:
Maarten de Rijke
University of Amsterdam, The Netherlands

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Publication History

Published: 11 July 2017

Accepted: 01 April 2017

Revised: 01 March 2017

Received: 01 July 2016

Published in TOIS Volume 35, Issue 4

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