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Quantifying Maximal Loss of Anonymity in Protocols

机译:量化协议中的最大匿名损失

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There is a natural intuitive match between anonymity and information theory. In particular, the maximal anonymity loss in anonymity protocols can be matched to the information theoretical notion of channel capacity.rnHowever, there is also a significant mismatch between the theories and reality: current theories can only characterize channel capacity based upon certain assumptions of symmetry, which are rarely satisfied in the real world.rnThis paper aims to resolve this mismatch by appealing to powerful mathematical techniques. A generic methodology using Lagrange multiplier method is proposed to characterize channel capacity in anonymity protocols.rnThis Lagrangian approach is proved to be able to generalize previous work on the channel capacity of protocols. Further, we present analyses on three well known protocols, namely Dining Cryptographers, Crowds and Onion Routing to demonstrate the application of our methodology.
机译:匿名与信息理论之间自然存在直观的匹配。特别是,匿名协议中的最大匿名损失可以与信道容量的信息理论概念相匹配。然而,理论与现实之间也存在重大不匹配:目前的理论只能基于某些对称假设来表征信道容量,本文旨在通过使用强大的数学技术来解决这种不匹配问题。提出了一种使用拉格朗日乘数法的通用方法来表征匿名协议中的信道容量。这种拉格朗日方法被证明能够概括先前关于协议的信道容量的工作。此外,我们对三种众所周知的协议(即餐饮密码学家,人群和洋葱路由)进行分析,以证明我们方法学的应用。

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