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Trust and Privacy Enabled Service Composition Using Social Experience

Abstract : In this paper, we present a framework for automatic selection and composition of services which exploits trustworthiness of services as a metric for measuring the quality of service composition. Trustworthiness is defined in terms of service reputation extracted from user profiles. The profiles are, in particular, extracted and inferred from a social network which accumulates users past experience with corresponding services. Using our privacy inference model we, first, prune social network to hide privacy sensitive contents and, then, utilize a trust inference based algorithm to measure reputation score of each individual service, and subsequently trustworthiness of their composition.
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Submitted on : Monday, August 11, 2014 - 11:01:17 AM
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Shahab Mokarizadeh, Nima Dokoohaki, Mihhail Matskin, Peep Küngas. Trust and Privacy Enabled Service Composition Using Social Experience. 10th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society (I3E), Nov 2010, Buenos Aires, Argentina. pp.226-236, ⟨10.1007/978-3-642-16283-1_26⟩. ⟨hal-01055012⟩



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