A clustering technique to analyse anonymous users.

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dc.contributor.authorBenmeziane, Souad
dc.contributor.authorBadache, Nadjib
dc.date.accessioned2015-04-28T16:10:59Z
dc.date.available2015-04-28T16:10:59Z
dc.date.issued2014-08-09
dc.description.abstractConcerns about privacy and anonymity have gained more and more attention in conjunction with the rapid growth of the Internet as a means of communication and information dissemination. A number of anonymous communication systems have been developed to protect the identity of communication participants. Nevertheless, it is important to provide ways to evaluate and measure the level of anonymity provided. We introduce in this paper the use of hierarchical clustering technique to analyse anonymous systems. We propose a new measure to evaluate anonymous systems by introducing the concept of dominant cluster. We further show that using this measure will overcome the limitations of other existing measures.fr_FR
dc.identifier.urihttp://dl.cerist.dz/handle/CERIST/734
dc.publisherCPSfr_FR
dc.relation.ispartof2014 International Conference on Communications Systems and Technologies - Network Security and Privacyfr_FR
dc.relation.placeTunisiefr_FR
dc.rights.holderCPSfr_FR
dc.structureSécurité des Données et Vie Privéefr_FR
dc.subjectprivacyfr_FR
dc.subjectmeasuring anonymityfr_FR
dc.subjecthierarchical clusteringfr_FR
dc.titleA clustering technique to analyse anonymous users.fr_FR
dc.typeConference paper
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