Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55602
Title: AutoPPG : towards automatic generation of privacy policy for android applications
Authors: Yu, L
Zhang, T
Luo, X 
Xue, L
Keywords: Document generation
Information extraction
Mobile applications
Privacy policy
Program analysis
Issue Date: 2015
Publisher: Association for Computing Machinery, Inc
Source: SPSM 2015 - Proceedings of the 5th Annual ACM CCS Workshop on Security and Privacy in Smartphones and Mobile Devices, co-located with: CCS 2015, 12 October 2015, p. 39-50 How to cite?
Abstract: A privacy policy is a statement informing users how their information will be collected, used, and disclosed. Failing to provide a correct privacy policy may result in a fine. How- ever, writing privacy policy is tedious and error-prone, be- cause the author may not well understand the source code, which could be written by others (e.g., outsourcing), or does not know the internals of third-party libraries without source codes. In this paper, we propose and develop a novel sys- tem named AutoPPG to automatically construct correct and readable descriptions to facilitate the generation of privacy policy for Android applications (i.e., apps). Given an app, AutoPPG first conducts various static code analyses to char- acterize its behaviors related to users' private information and then applies natural language processing techniques to generating correct and accessible sentences for describing these behaviors. The experimental results using real apps and crowdsourcing indicate that: (1) AutoPPG creates cor- rect and easy-to-understand descriptions for privacy policies; and (2) the privacy policies constructed by AutoPPG usually reveal more operations related to users' private information than existing privacy policies.
URI: http://hdl.handle.net/10397/55602
ISBN: 9781450338196
DOI: 10.1145/2808117.2808125
Appears in Collections:Conference Paper

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