An analysis of trust in anonymity networks in the presence of adaptive attackers

Sardaouna Hamadou 1, * Vladimiro Sassone 2 Mu Yang 2
* Auteur correspondant
1 COMETE - Concurrency, Mobility and Transactions
LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau], Inria Saclay - Ile de France, X - École polytechnique, CNRS - Centre National de la Recherche Scientifique : UMR7161
2 Cybersecurity Centre
ECS - School of Electronics and Computer Science
Abstract : Anonymity is a security property of paramount importance, as we move steadily towards a wired, online community. Its import touches upon subjects as different as eGovernance, eBusiness and eLeisure, as well as personal freedom of speech in authoritarian societies. Trust metrics are used in anonymity networks to support and enhance reliability in the absence of verifiable identities, and a variety of security attacks currently focus on degrading a user's trustworthiness in the eyes of the other users. In this paper, we analyse the privacy guarantees of the Crowds anonymity protocol, with and without onion forwarding, for standard and adaptive attacks against the trust level of honest users.
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Mathematical Structures in Computer Science, Cambridge University Press (CUP), 2013
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Dernière modification le : jeudi 10 mai 2018 - 02:07:00
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Sardaouna Hamadou, Vladimiro Sassone, Mu Yang. An analysis of trust in anonymity networks in the presence of adaptive attackers. Mathematical Structures in Computer Science, Cambridge University Press (CUP), 2013. 〈hal-00760437v2〉

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