ISCAS OpenIR
bind your phone number with caution: automated user profiling through address book matching on smartphone
Cheng Yao; Ying Lingyun; Jiao Sibei; Su Purui; Feng Dengguo
2013
Conference Name8th ACM SIGSAC Symposium on Information, Computer and Communications Security, ASIA CCS 2013
SourceASIA CCS 2013 - Proceedings of the 8th ACM SIGSAC Symposium on Information, Computer and Communications Security
Pages335-340
Conference DateMay 8, 2013 - May 10, 2013
Conference PlaceHangzhou, China
Indexed TypeEI
ISBN9781450317672
Department(1) Institute of Software Chinese Academy of Sciences Beijing 100190 China
English AbstractDue 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. © 2013 ACM.; 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. © 2013 ACM.
KeywordData Privacy Signal Encoding Smartphones
SponsorshipACM SIGSAC; Hangzhou Normal University; Shanghai Jiaotong University
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/15978
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Cheng Yao,Ying Lingyun,Jiao Sibei,et al. bind your phone number with caution: automated user profiling through address book matching on smartphone[C],2013:335-340.
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