Abstract

With the increasingly evident advantages of service-oriented software architecture, Web service received widespread attention, and the numbers of Web Services are increasing constantly. It is more difficult to select high-quality Web service that meets user requirements. Because traditional service reputation evaluation approaches cannot ensure the authenticity and reliability of user ratings, this paper proposes a cloud-based reputation evaluation approach for assessing the history behavior of service consumers, and also takes into account the rating similarity to generate rating quality cloud. With the parameters of cloud model, we can measure the quality level and stability of rankings, which provide additional evidence for trust decision-making. The result of simulating experiments shows that the proposed approach can improve the accuracy of reputation evaluation and the quality of Web service selection, and defend against malicious attacks, so that the interests of service requesters and service providers can be protected.

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