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dc.contributor.authorMelendreras Ruiz, Rafael
dc.contributor.authorBerenguer Vidal, Rafael
dc.contributor.authorGarcía Collado, Ángel Joaquín
dc.date.accessioned2018-04-18T15:03:25Z
dc.date.available2018-04-18T15:03:25Z
dc.date.issued2004-09
dc.identifier.urihttp://hdl.handle.net/10952/2954
dc.description.abstractIn this paper, a new reputation management system is presented for a peer-to-peer platform called P2People. Due to peer-to-peer applications providing anonymity features, malicious peers collectives try to subvert these systems under self interests. So, additional mechanisms need to be implemented to increase the security at each node of the network. Based on human perception of trustworthiness, the P2People reputation algorithm tries to get accurate results in order to minimize the number of downloads and transactions from/with malicious peers, and at the same time to isolate them. The simulation results shown that this first approach gets to reduce hugely the number of corrupted files and the contact with undesirable peers in the network.es
dc.language.isoeses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAlgoritmoes
dc.titleGestión de la reputación en redes P2P: algoritmo de reputación de p2peoplees
dc.typearticlees
dc.rights.accessRightsopenAccesses
dc.journal.titleSIMPOSIUM NACIONAL DE LA UNIÓN CIENTÍFICA INTERNACIONAL DE RADIO, URSI 2004es
dc.description.disciplineIngeniería, Industria y Construcciónes


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional