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Reputation Systems: A framework for attacks and frauds classification

dc.contributor.authorPereira, Rui Humberto
dc.contributor.authorGonçalves, Maria José
dc.contributor.authorMagalhães, Marta Alexandra Guerra
dc.date.accessioned2023-01-25T10:10:37Z
dc.date.available2023-01-25T10:10:37Z
dc.date.issued2023-01-14
dc.description.abstractReputation and recommending systems have been widely used in e-commerce, as well as online collaborative networks, P2P networks and many other contexts, in order to provide trust to the participants involved in the online interaction. Based on a reputation score, the e-commerce user feels a sense of security, leading the person to trust or not when buying or selling. However, these systems may give the user a false sense of security due to their gaps. This article discusses the limitations of the current reputation systems in terms of models to determine the reputation score of the users. We intend to contribute to the knowledge in this field by providing a systematic overview of the main types of attack and fraud found in those systems, proposing a novel framework of classification based on a matrix of attributes. We believe such a framework could help analyse new types of attacks and fraud. Our work was based on a systematic literature review methodology.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPereira, R. H., Gonçalves, M. J., & Magalhães, M. A. G. (2023). Reputation Systems: A framework for attacks and frauds classification. Journal of Information Systems Engineering and Management, 8(1), 19218. https://doi.org/10.55267/iadt.07.12830pt_PT
dc.identifier.doihttps://doi.org/10.55267/iadt.07.12830pt_PT
dc.identifier.issn2468-4376
dc.identifier.urihttp://hdl.handle.net/10400.26/43340
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIADITI Editionspt_PT
dc.relation.publisherversionhttps://www.jisem-journal.com/article/reputation-systems-a-framework-for-attacks-and-frauds-classification-12830pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectE-commercept_PT
dc.subjecttrustpt_PT
dc.subjectreputation systemspt_PT
dc.titleReputation Systems: A framework for attacks and frauds classificationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlacePortugalpt_PT
oaire.citation.issue1pt_PT
oaire.citation.titleJournal of Information Systems Engineering and Managementpt_PT
oaire.citation.volume8pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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