A Trust Evaluation Model for Cloud Computing Using Bayesian Network

In recent years, cloud computing has attracted much attention as a new computing model for providing infrastructure, platform, and software as a service. There is an important challenge in trust management between cloud providers, service providers, and service applicants due to the industry's rapid adaptation of cloud computing. Trust management has become very challenging in cloud computing since cloud service applicants need to choose effective, reliable, and low-risk services. One of the most important factors, which can be considered in the applicant's trust or distrust of service, is the various parameters of service. Therefore, it is necessary to use approaches to evaluate the trust of the cloud services considering their service quality parameters and their identified performance requirements. In this paper, a model is introduced to evaluate the trust for the cloud services using Bayesian network. Since the trust actually deals with probabilities, and the Bayesian network also uses probabilities to solve the problems, the Bayesian network can be used to assess the trust. The proposed method is compared with various data mining techniques to assess trust in cloud services. The results show that the accuracy, absolute error, root mean square error, and square error in the Bayesian network are 94/53, 0/037, 0/137, and 0/038, respectively. The proposed method is more efficient than different data mining techniques for trust assessment in cloud services.