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Conference Papers Year : 2017

Self-reported Verifiable Reputation with Rater Privacy

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Rémi Bazin
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Omar Hasan

Abstract

Reputation systems are a major feature of every modern e-commerce website, helping buyers carefully choose their service providers and products. However, most websites use centralized reputation systems, where the security of the system rests entirely upon a single Trusted Third Party. Moreover, they often disclose the identities of the raters, which may discourage honest users from posting frank reviews due to the fear of retaliation from the ratees. We present a reputation system that is decentralized yet secure and efficient, and could therefore be applied in a practical context. In fact, users are able to retrieve the reputation score of a service provider directly from it in constant time, with assurance regarding the correctness of the information obtained. Additionally, the reputation system is anonymity-preserving, which ensures that users can submit feedback without their identities being associated to it. Despite this anonymity, the system still offers robustness against attacks such as ballot-stuffing and Sybil attacks.
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Dates and versions

hal-01651161 , version 1 (28-11-2017)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Rémi Bazin, Alexander Schaub, Omar Hasan, Lionel Brunie. Self-reported Verifiable Reputation with Rater Privacy. 11th IFIP International Conference on Trust Management (TM), Jun 2017, Gothenburg, Sweden. pp.180-195, ⟨10.1007/978-3-319-59171-1_14⟩. ⟨hal-01651161⟩
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