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引用次数: 52

摘要

声誉系统是一种流行的工具,用于在交易前评估未知方的可信度,但声誉评分可以极大地影响被评级的主体,因此它可能倾向于抑制负面评级。为了获得抗胁迫、诚实的反馈,本文提出了一种提供评分完全隐私的信誉系统,即评分者和信誉系统都不会知道评分的价值。我们采用加密和非加密两种方法来解决这个问题。评级的隐私性可能会助长恶意攻击,攻击者会故意留下不良反馈。我们通过提供一个令牌系统来限制这种攻击的可能性,这样一个人只能在交易后留下反馈,并提供我们系统隐私的加密证明。考虑虚拟组织的形成问题,提出并评价了一种新的声誉聚合算法。
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A verifiable, centralized, coercion-free reputation system
Reputation systems are popular tools to evaluate the trustworthiness of an unknown party before a transaction, but the reputation score can greatly impact the rated subject, such that it might be inclined to suppress negative ratings. In order to elicit coercion-resistant, honest feedback, this paper proposes a reputation system that provides complete privacy of the ratings, i.e. neither the ratee nor the reputation system will learn the value of the rating. We take both, a cryptographic as well as a non-cryptographic approach, to the problem. Privacy of ratings may foster bad mouthing attacks where an attacker leaves intentionally bad feedback. We limit the possibility for this attack by providing a token system such that one can only leave feedback after a transaction, and provide a cryptographic proof of the privacy of our system. We consider the Virtual Organization formation problem and develop and evaluate a novel reputation aggregation algorithm for it.
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