Trust model for cloud service consumers

In the last few years, Cloud computing has become essential in the research, industry, and business. On the other hands, Cloud computing is based on virtualization over IT resources where virtual storage and computing services are provided. Therefore, trusting of both cloud providers and consumers is considered a critical factor to enhance reliability and security of the cloud environment. Although there are many research studies concern about establishing trust for cloud service providers. In this paper, a trust model has been proposed to determine the trust for cloud consumers. The main component of the proposed trust model is the trust metric stage. The function of this stage is to define the trust percentage for each consumer. Four enhanced techniques have been used and implemented in this stage; Particle Swarm Optimization (PSO), Multiple Regression (MR), Analytic Hierarchical Process (AHP), and PSO-Multiple Regression (MR-PSO). According to implementation results of these techniques, it is found that the PSO is the proper technique to be used to calculate the trust percentage. The performance of the proposed trust model has been evaluated relative to Armor dataset. The experimental results show that the trust percentage according to our proposed model is deviated by 0.017 relative to Armor dataset.