A Robust Trust Model with Rated Genuine Feedbacks in a Grid Environment

In the broker architecture of the grid environment, the grid is divided (logically) into multiple domains, where in each domain multiple entities (consumers and resource providers (RP)) co-exist along with a number of brokers. Each entity will be associated with more than one broker to ensure reliability and eliminate single point failure. The brokers´ task is to select an appropriate resource provider (RP) to provide a resource to the consumer requesting it. At the end of any transaction, the consumer is expected to submit a feedback to the broker. This feedback will be evaluated by the broker for genuineness. By doing so, the trust-index of the RP is safe guarded against dishonest ratings given by the consumer. When the feedback of a particular transaction is found to be dishonest, the consumer´s trust-index is reduced. In order to predict a feedback in case of a transaction with dishonest feedback, we propose a one-dimensional interpolation technique. This appropriate (close to true) feedback can be used to compute the new trust-index of RP. The first-hand feedback of an honest consumer is rated according to the broker´s feedback and then used in the computation of trust-index of RP.