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dc.contributor.authorEtuk, A.
dc.contributor.authorNorman, T. J.
dc.contributor.authorŞensoy, Murat
dc.contributor.authorBisdikian, C.
dc.contributor.authorSrivatsa, M.
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractTrust and reputation are significant components in open dynamic systems for making informed and reliable decisions. State-of-the-art information fusion models that exploit these mechanisms generally rely on reports from as many sources as possible. Situations exist, however, where seeking evidence from all possible sources is unrealistic. Querying information sources is costly especially in resource-constrained environments, in terms of time and bandwidth. In addition, reports from multiple sources expose one to the risk of double-counting evidence, introducing an extra challenge of distinguishing fact from rumour. This paper describes TIDY (Trust-based Information fusion through DiversitY), a trust-based approach to information fusion that exploits diversity among information sources in order to select a small number of candidates to query for evidence, and to minimise the effect of correlated evidence and bias. We demonstrate that reliable decisions can be reached using evidence from small groups of individuals. We show empirically that our approach is robust in contexts of variable trust in information sources, and to a degree of deception.
dc.description.sponsorshipPetroleum Technology Development Fund (PTDF) ; Overseas Scholarship Scheme (OSS) ; the U.S. Army Research Laboratory ; the U.K. Ministry of Defence
dc.relation.ispartofInformation Fusion (FUSION), 2013 16th International Conference on
dc.titleTIDY: A trust-based approach to information fusion through diversityen_US
dc.typeConference paperen_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0001-8806-4508 & YÖK ID 41438) Şensoy, Murat
dc.contributor.ozuauthorŞensoy, Murat
dc.subject.keywordsInformation resources
dc.subject.keywordsQuery processing
dc.subject.keywordsSecurity of data
dc.subject.keywordsSensor fusion
dc.subject.keywordsTrusted computing
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff

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