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Magentix2: a Privacy-enhancing Agent Platform

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Magentix2: a Privacy-enhancing Agent Platform

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dc.contributor.author Such Aparicio, José Miguel es_ES
dc.contributor.author García Fornes, Ana María es_ES
dc.contributor.author Espinosa Minguet, Agustín Rafael es_ES
dc.contributor.author Bellver Faus, Joan es_ES
dc.date.accessioned 2015-01-12T07:55:42Z
dc.date.issued 2013-01
dc.identifier.issn 0952-1976
dc.identifier.uri http://hdl.handle.net/10251/45947
dc.description.abstract Agent Platforms are the software that supports the development and execution of Multi-agent Systems. There are many Agent Platforms developed by the agent community, but they hardly consider privacy. This leads to agent-based applications that invade users' privacy. Privacy can be threatened by two main information activities: information collection and information processing. Information collection can be prevented using traditional security mechanisms. Information processing can be prevented by minimizing data identifiability, i.e., the degree by which personal information can be directly attributed to a particular individual. However, minimizing data identifiability may directly affect other crucial issues in Multi-agent Systems, such as accountability, trust, and reputation. In this paper, we present the support that the Magentix2 Agent Platform provides for preserving privacy. Specifically, it provides mechanisms to avoid information collection and information processing when they are not desired. Moreover, Magentix2 provides these mechanisms without compromising accountability, trust, and reputation. We also provide in this paper an application built on top of Magentix2 that exploits its support for preserving privacy. Finally, we provide an extensive evaluation of the support that Magentix2 provides for preserving privacy based on that application. We specifically test whether or not privacy loss can be minimized by using the support that Magentix2 provides, whether or not this support introduces a bearable performance overhead, and whether or not existing trust and reputation models can be implemented on top of Magentix2. es_ES
dc.description.sponsorship This work has been partially supported by CONSOLIDER-INGENIO 2010 under Grant CSD2007-00022, and project TIN2009-13839-C03-01. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Engineering Applications of Artificial Intelligence es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Privacy es_ES
dc.subject Agent Platforms es_ES
dc.subject Multi-agent Systems es_ES
dc.subject Security es_ES
dc.subject Trust es_ES
dc.subject Reputation es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Magentix2: a Privacy-enhancing Agent Platform es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.engappai.2012.06.009
dc.relation.projectID info:eu-repo/grantAgreement/MEC//CSD2007-00022/ES/Agreement Technologies/ / es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2009-13839-C03-01/ES/Organizaciones Virtuales Adaptativas: Arquitecturas Y Metodos De Desarrollo/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Such Aparicio, JM.; García Fornes, AM.; Espinosa Minguet, AR.; Bellver Faus, J. (2013). Magentix2: a Privacy-enhancing Agent Platform. Engineering Applications of Artificial Intelligence. 26(1):96-109. doi:10.1016/j.engappai.2012.06.009 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.engappai.2012.06.009 es_ES
dc.description.upvformatpinicio 96 es_ES
dc.description.upvformatpfin 109 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 26 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 258029


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