A Fuzzy Reputation-based Trust Management Scheme for Cloud Computing

Cloud computing requires that customers trust that a service provider’s platforms are secured and provide a sufficient level of integrity for the client’s data. However, a lack of trust between cloud customers and providers has hindered the universal acceptance of clouds as an increasingly popular approach for the processing of large data sets and computationally expensive programs. Existing techniques do not satisfactorily solve the problem, a good solution is to leverage trust management technology to build trust into utility cloud computing. Recently, trust modeling is paid more and more attention in cloud computing. Therefore, in the paper we propose a fuzzy reputation-based trust model (FRTM) based on fuzzy logic inferences. The main idea of our trust model is to use fuzzy logic inferences to handle uncertainty, fuzziness, and incomplete information in cloud trust reports. The proposed trust model will help cloud customers determine the level of trust that is to be placed on any particular cloud service provider. Experiments and results demonstrate the accuracy of the proposed trust model. Through analysis and experiments, we believe our approach is useful for cloud customers to make the decision regarding who to interact with.