A logic for uncertain probabilities
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A Social Mechanism of Reputation Management in Electronic Communities
CIA '00 Proceedings of the 4th International Workshop on Cooperative Information Agents IV, The Future of Information Agents in Cyberspace
Quality driven web services composition
WWW '03 Proceedings of the 12th international conference on World Wide Web
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Toward autonomic web services trust and selection
Proceedings of the 2nd international conference on Service oriented computing
PET: A PErsonalized Trust Model with Reputation and Risk Evaluation for P2P Resource Sharing
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 07
Inferring binary trust relationships in Web-based social networks
ACM Transactions on Internet Technology (TOIT)
Fuzzy trust evaluation and credibility development in multi-agent systems
Applied Soft Computing
A survey of trust and reputation systems for online service provision
Decision Support Systems
Trust negotiation for semantic web services
SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
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As an important technique for internet-scale information integration, web service becomes popular very rapidly in recent years. More and more enterprises move their core business onto the Web in the form of web services. Malicious web services will affect the security and reliability of the requester's application which invokes the services. Therefore, identifying the trustworthy web services is now a critical issue to make requester's application secure and reliable. In this paper, we develop a prototype that naturally provides a solution for the evaluation and management of web service trust and reputation. The prototype integrates service requester's feedback collection, trust evaluation and trust management together. With collaborating of these three components, our prototype provides an effective way for selecting trustworthy services for the requesters. To model service trust more precisely, we present a mathematic presentation for different types of data describing service trust, i.e, discrete values, probabilistic values, brief values and fuzzy values. A series of models has been developed to evaluate the trust of services according to the types of trust values. Simulation results verify that using these models can greatly improve the success rate of invoking trustworthy services.