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In many research and business domains, there are efforts to develop systems that aggregate user data gathered by various data sources. This approach involves secondary sharing of user data and potentially benefits the user in terms of improved personalization and better experience. However, concerns regarding privacy arise when sharing user data with unknown third parties. These concerns can be alleviated...
We propose a fuzzy trust management framework for the Service Web. The proposed framework supports a natural way of representing and querying consumers' perception on services. We describe the underlying models, algorithms and an implementation architecture, mainly focusing on the key features and contributions of the proposed framework.
In order to resolve the trust problem due to the opening, the dynamics, the anonymity, and the uncertainty of system, this paper proposes a new trust model by analyzing and improving the subjective logic. A new trust quantification formula with the negative-event and time effects is introduced, and a definition of risk is also presented. We can evaluate the trust relationships between peers more precisely...
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