3University of Tartu (University of Tartu, Ülikooli 18, 50090 TARTU - Estonia)
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.
https://hal.inria.fr/hal-01055012 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Monday, August 11, 2014 - 11:01:17 AM Last modification on : Monday, January 24, 2022 - 12:44:07 PM Long-term archiving on: : Wednesday, November 26, 2014 - 9:46:30 PM
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⟩