Trust Evaluation Method for the Perceptive Credibility of Tenants in the Cloud Platform

The malicious usage of the cloud platform, untrusted providers, and untrusted perception from the users all contribute to the difficult application of the cloud services. In order to solve these issues, a trust evaluation method of the cloud service based on user perception is proposed. Based on fuzzy set theory, the behaviors of nodes in the cloud platform are quantitated, and the trust values of the services provider are measured; furthermore, an enhanced assessment mechanism in consideration of tenants’ perceived credibility is studied, the fuzzy clustering algorithm is used to match the resource and task, and the hierarchical access control policy is deployed based on the credibility of the tenants; finally, a comprehensive assessment of the cloud services is integrated with the above three aspects of the evaluation. Analysis results show that the proposed method can filter malicious services in the cloud, match the optimal resource precisely, and prevent important data from being leaked to untrusted tenants. Experiments results further indicate the excellent performance of the proposed method. The proposed method can characterize the risk of the cloud platform and meet the diverse trusted needs of the cloud platform from varied tenants.