Leveraging social feedback to verify online identity claims

Journal Article (Journal Article)

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. © 2014 ACM.

Full Text

Duke Authors

Cited Authors

  • Sirivianos, M; Kim, K; Gan, JW; Yang, X

Published Date

  • January 1, 2014

Published In

Volume / Issue

  • 8 / 2

Electronic International Standard Serial Number (EISSN)

  • 1559-114X

International Standard Serial Number (ISSN)

  • 1559-1131

Digital Object Identifier (DOI)

  • 10.1145/2543711

Citation Source

  • Scopus