NDLI: Bind your phone number with caution: automated user profiling through address book matching on smartphone

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Bind your phone number with caution: automated user profiling through address book matching on smartphone

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Bind your phone number with caution: automated user profiling through address book matching on smartphone

Content Provider	ACM Digital Library
Author	Su, Purui Cheng, Yao Ying, Lingyun Jiao, Sibei Feng, Dengguo
Abstract	Due to the cost-efficient communicating manner and attractive user experience, messenger applications have dominated every smartphone in recent years. Nowadays, Address Book Matching, a new feature that helps people keep in touch with real world contacts, has been loaded in many popular messenger applications, which unfortunately as well brings severe privacy issues to users. In this paper, we propose a novel method to abuse such feature to automatically collect user profiles. This method can be applied to any application equipped with Address Book Matching independent of mobile platforms. We also build a prototype on Android to verify the effectiveness of our method. Moreover, we integrate profiles gathered from different messenger applications and provide insights by performing a consistency and authenticity analysis on user profile fields. As our experiments show, the abuse of Address Book Matching can cause severe user privacy leakage. Finally, we provide some countermeasures for developers to avoid this issue when designing messenger applications.
Starting Page	335
Ending Page	340
Page Count	6
File Format	PDF
ISBN	9781450317672
DOI	10.1145/2484313.2484356
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-05-08
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Privacy Smartphone applications Address book matching User profiling
Content Type	Text
Resource Type	Article

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