Who's your best friend? Targeted privacy attacks in location-sharing social networks

Reference:

Kostakos, V., Venkatanathan, J., Reynolds, B., Sadeh, N., Toch, E., Shaikh, S. A. and Jones, S., 2011. Who's your best friend? Targeted privacy attacks in location-sharing social networks. In: UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing. New York: Association for Computing Machinery (ACM), pp. 177-186.

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Official URL:

http://dx.doi.org/10.1145/2030112.2030138

Abstract

This paper presents a study that aims to answer two important questions related to targeted location-sharing privacy attacks: (1) given a group of users and their social graph, is it possible to predict which among them is likely to reveal most about their whereabouts, and (2) given a user, is it possible to predict which among her friends knows most about her whereabouts. To answer these questions we analyse the privacy policies of users of a real-time location sharing application, in which users actively shared their location with their contacts. The results show that users who are central to their network are more likely to reveal most about their whereabouts. Furthermore, we show that the friend most likely to know the whereabouts of a specific individual is the one with most common contacts and/or greatest number of contacts.

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