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Title: Leveraging social feedback to verify online identity claims
Authors: Sirivianos, Michael 
Kim, Kyungbaek 
Gan, Jianwei 
Yang, Xiaowei 
Keywords: Anonymity;Online credential;Online identity;Online social network;Privacy
Category: Computer and Information Sciences
Field: Natural Sciences
Issue Date: 1-Jan-2014
Publisher: Association for Computing Machinery
Source: ACM Transactions on the Web Volume 8, Issue 2, March 2014, Article number 9
metadata.dc.doi: 10.1145/2543711
Abstract: Anonymity is one of the main virtues of the Internet, as it protects privacy and enables users to express opinions more freely. However, anonymity hinders the assessment of the veracity of assertions that online users make about their identity attributes, such as age or profession. We propose FaceTrust, a system that uses online social networks to provide lightweight identity credentials while preserving a user's anonymity. FaceTrust employs a "game with a purpose" design to elicit the opinions of the friends of a user about the user's self-claimed identity attributes, and uses attack-resistant trust inference to assign veracity scores to identity attribute assertions. FaceTrust provides credentials, which a user can use to corroborate his assertions. We evaluate our proposal using a live Facebook deployment and simulations on a crawled social graph. The results show that our veracity scores are strongly correlated with the ground truth, even when dishonest users make up a large fraction of the social network and employ the Sybil attack.
ISSN: 15591131
Rights: © 2014 ACM.
Type: Article
Appears in Collections:Άρθρα/Articles

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