Privacy preservation in peer-to-peer gossiping networks in presence of a passive adversary

Abstract : In the Web 2.0, more and more personal data are released by users (queries, social networks, geo-located data, ...), which create a huge pool of useful information to leverage in the context of search or recommendation for instance. In fully decentralized systems, tapping on the power of this information usually involves a clustering process that relies on an exchange of personal data (such as user proles) to compute the similarity between users. In this internship, we address the problem of computing similarity between users while preserving their privacy and without relying on a central entity, with regards to a passive adversary.
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https://dumas.ccsd.cnrs.fr/dumas-00530603
Contributeur : Co-Responsables Du Mri V. Gouranton Et S. Blazy <>
Soumis le : vendredi 29 octobre 2010 - 14:27:48
Dernière modification le : jeudi 24 août 2017 - 01:09:28
Document(s) archivé(s) le : dimanche 30 janvier 2011 - 02:55:36

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  • HAL Id : dumas-00530603, version 1

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Mohammad Al-Aggan. Privacy preservation in peer-to-peer gossiping networks in presence of a passive adversary. Distributed, Parallel, and Cluster Computing [cs.DC]. 2010. 〈dumas-00530603〉

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