A Reputation-Based Service Selection Scheme

In this paper, a trustable service selection model based on consumer reputation is proposed. Our model exploits evidence theory and extends deception detection of existing bodies of evidence to identify dishonest decision maker. The model defines the confidence intervals for bodies of evidence, and estimates the reputation of the Web service by collecting customer feedback via network referrals. It determines customer satisfaction for services and rationally ranks the reputation of service alternatives. A reputation index, aggregating both the confidence and support degree of the evidence, is introduced to determine the quality of existing evidence hence avoiding malicious assessment. Finally, an example of reputation-based Web services selection is illustrated to demonstrate the proposed approach.