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Title: Can we trust the privacy policies of Android apps?
Authors: Yu, L
Luo, X 
Liu, X
Zhang, T
Keywords: Trusted computing
Android (operating system)
Data privacy
Security of data
Smart phones
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers
Source: 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks : DSN 2016 : proceedings : 28 June-1 July 2016, Toulouse, France, p. 538-549 How to cite?
Abstract: Recent years have witnessed the sharp increase of malicious apps that steal users' personal information. To address users' concerns about privacy risks, more and more apps are accompanied with privacy policies written in natural language because it is difficult for users to infer an app's behaviors according to the required permissions. However, little is known whether these privacy policies are trustworthy or not. It is worth noting that a questionable privacy policy may result from careless preparation by an app developer or intentional deception by an attacker. In this paper, we conduct the first systematic study on privacy policy by proposing a novel approach to automatically identify three kinds of problems in privacy policy. After tackling several challenging issues, we realize our approach in a system, named PPChecker, and evaluate it with real apps and privacy policies. The experimental results show that PPChecker can effectively identify questionable privacy policies with high precision. Moreover, applying PPChecker to 1,197 popular apps, we found that 282 apps (i.e., 23.6%) have at least one kind of problems. This study sheds light on the research of improving and regulating apps' privacy policies.
ISBN: 978-1-4673-8891-7 (electronic)
978-1-4673-8892-4 (Print on Demand(PoD))
DOI: 10.1109/DSN.2016.55
Appears in Collections:Conference Paper

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