Anonymity Protocols as Noisy Channels

Konstantinos Chatzikokolakis 1 Catuscia Palamidessi 1 Prakash Panangaden 2
1 COMETE - Concurrency, Mobility and Transactions
LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau], Inria Saclay - Ile de France, Polytechnique - X, CNRS - Centre National de la Recherche Scientifique : UMR7161
Abstract : We consider a framework in which anonymity protocols are interpreted as noisy channels in the information-theoretic sense, and we explore the idea of using the notion of capacity as a measure of the loss of anonymity. Such idea was already suggested by Moskowitz, Newman and Syverson, in their analysis of the covert channel that can be created as a result of non-perfect anonymity. We consider the case in which some leak of information is intended by design, and we introduce the notion of conditional capacity to rule out this factor, thus retrieving a natural correspondence with the notion of anonymity. Furthermore, we show how to compute the capacity and the conditional capacity when the anonymity protocol satisfies certain symmetries. We also investigate how the adversary can test the system to try to infer the user's identity, and we study how his probability of success depends on the characteristics of the channel. We then illustrate how various notions of anonymity can be expressed in this framework, and show the relation with some definitions of probabilistic anonymity in literature. Finally, we show how to compute the matrix of the channel (and hence the capacity and conditional capacity) using model checking.
Type de document :
Article dans une revue
Information and Computation, Elsevier, 2008, 206 (2-4), pp.378--401. 〈10.1016/j.ic.2007.07.003〉
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Soumis le : jeudi 25 décembre 2008 - 03:47:55
Dernière modification le : jeudi 11 janvier 2018 - 06:22:13
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Konstantinos Chatzikokolakis, Catuscia Palamidessi, Prakash Panangaden. Anonymity Protocols as Noisy Channels. Information and Computation, Elsevier, 2008, 206 (2-4), pp.378--401. 〈10.1016/j.ic.2007.07.003〉. 〈inria-00349225〉



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