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dc.contributor.authorLu, Huabo
dc.contributor.authorBagai, Rajiv
dc.identifier.citationLu H., Bagai R. (2018) Cache Enhanced Anonymity Systems Against Probabilistic Attacks. In: Gaj P., Sawicki M., Suchacka G., Kwiecień A. (eds) Computer Networks. CN 2018. Communications in Computer and Information Science, vol 860. Springer, Chamen_US
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThe technique of data caching is being increasingly recognized for its ability to increase the amount of anonymity provided by an anonymous communication network, and is expected to be widely adopted in the next generation of these systems. We present a method to measure the degree of anonymity remaining in a cache enhanced anonymity system after a probabilistic attack has been carried out on it. Our method determines the probability distribution induced by the attack on all possible communication patterns of being the true one, from which a system-wide anonymity metric is developed. The scope of our metric, in terms of the attacks it is applicable to, is far wider than that of existing methods.en_US
dc.publisherSpringer, Chamen_US
dc.relation.ispartofseriesComputer Networks. CN 2018. Communications in Computer and Information Science;v.860
dc.subjectOnline anonymityen_US
dc.subjectData cachingen_US
dc.subjectProbabilistic attacksen_US
dc.subjectMeasuring anonymityen_US
dc.subjectShannon entropyen_US
dc.subjectCombinatorial matrix theoryen_US
dc.titleCache enhanced anonymity systems against probabilistic attacksen_US
dc.typeConference paperen_US
dc.rights.holder© Springer International Publishing AG, part of Springer Nature 2018en_US

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