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dc.contributor.authorRomero-Tris, Cristina
dc.contributor.authorCastellà Martínez, Damià
dc.contributor.authorViejo Galicia, Alexandre
dc.contributor.authorCastellà Roca, Jordi
dc.contributor.authorSolsona Tehàs, Francesc
dc.contributor.authorMateo-Sanz, Josep María
dc.date.accessioned2016-06-13T14:21:40Z
dc.date.issued2015
dc.identifier.issn0140-3664
dc.identifier.urihttp://hdl.handle.net/10459.1/57186
dc.description.abstractWeb Search Engines store and analyze queries made by their users in order to build their profiles and offer them personalized search results (i.e., results are ranked according to each user’s preferences). Even though this service is positive for the users, their profiles may contain sensitive information that can threaten their privacy. Literature in this field stresses the existence of a trade-off between the level of privacy achieved and the quality of service received. Current proposals try to maximize this trade-off, yet we argue that there is still room for improvement. In this paper, we present a new approach which improves the trade-off by grouping users who share similar profiles. Moreover, our new proposal is based on a hybrid P2P architecture that outperforms current schemes in terms of scalability. The proposed system has been tested in terms of performance and privacy achieved, using real data from the AOL dataset. Simulation results show that: (i) the system protects users’ privacy when they behave honestly, and penalizes selfish users; (ii) it supports a large number of users; (iii) the runtime required to group users is affordable; and (iv) groups are dynamic and their topology is unpredictable, which we argue that is positive from the privacy point of view.ca_ES
dc.description.sponsorshipThis work was partly supported by the Spanish Ministry of Science and Innovation (through Projects eAEGIS TSI2007-65406-C03-01, CO-PRIVACY TIN2011-27076- C03-01, ARES-CONSOLIDER INGENIO 2010 CSD2007-00004, Audit Transparency Voting Process IPT-430000-2010-31 and Ballot Next IPT-2012-0603-430000) and by the Government of Catalonia (under Grant 2009 SGR 1135). Francesc Solsona and Damià Castellà are funded by the MEyC under Contract TIN2011-28689-C02-02. Francesc Solsona is a member of the research group 2009 SGR145, funded by Government of Catalonia.ca_ES
dc.language.isoengca_ES
dc.publisherElsevierca_ES
dc.relationMICINN/PN2008-2011/TIN2011-28689-C02-02ca_ES
dc.relationMIECI/PN2004-2007/TSI2007-65406-C03-01
dc.relationMICINN/PN2008-2011/TIN2011-27076-C03-01
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.1016/j.comcom.2014.09.003ca_ES
dc.relation.ispartofComputer Communications, 2015, vol. 57, p. 37-49ca_ES
dc.rights(c) Elsevier, 2015ca_ES
dc.subjectWeb Search Enginesca_ES
dc.subjectProfileca_ES
dc.subjectPersonalizationca_ES
dc.subjectPrivacyca_ES
dc.titleDesign of a P2P network that protects users’ privacy in front of Web Search Enginesca_ES
dc.typearticleca_ES
dc.identifier.idgrec021597
dc.type.versionpublishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_ES
dc.identifier.doihttps://doi.org/10.1016/j.comcom.2014.09.003
dc.date.embargoEndDate2025-01-01


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