A reputation-based computing approach in trusted web service provisions

Some service reputation approaches primarily consider the consumer's prior experience of the service via opinion feedback system, may neglect the effect of Trust Transition (TT) in the recommendations of others .The service reputation is propagated via referral network recommendations for service composition and eventually builds a distinct level of consumer trust in the service. Accordingly, the present study proposes a service selection model in which the reputation of a sea-ice provider is estimated by collecting consumer feedbacks and other's recommendations in open networks. The degree of service reputation is appropriately estimated using fuzzy Petri net (FPN) to model the referral activities across the social networks and outrank a set of service alternatives using the global reputation score of a service. Two examples of social services selection are used to demonstrate the proposed approach .The proposed model effectively solves the trust transition problem in the indirect recommendation of the service selection and also enables deception detection in terms of existing evidences for assessment of evaluator credibility that excludes the false evidences of dishonest evaluators.