A probabilistic inference attack on suppressed social networks

Altop, Barış and Nergiz, Mehmet Ercan and Saygın, Yücel (2012) A probabilistic inference attack on suppressed social networks. In: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012), Kadir Has University, İstanbul, Turkey

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Social Networks (SNs) are widely used by internet users to share personal information, which also raises every privacy concern. Hence most service providers offer various preference-based privacy policies, allowing users to suppress any information under their accounts in case they do not wish to share it with public. In this paper, we show that such policies are not sufficient to provide privacy mainly because they do not allow users to control data belonging to other users they are linked with. We show experimentally that one can predict a suppressed boolean label (e.g, being rich or having voted for a specific political party) of a node from other released information in neighboring nodes when there is a known correlation between the links and the label.
Item Type: Papers in Conference Proceedings
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Barış Altop
Date Deposited: 12 Feb 2013 12:33
Last Modified: 26 Apr 2022 09:10
URI: https://research.sabanciuniv.edu/id/eprint/21420

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