cloud, user trust, service-to-service trust, trust model

This thesis reviews the trust on the cloud computing environment from the viewpoint of cloud service users by developing a multiview metric to evaluate diverse cloud service providers.The approaches to user trust concept are studied to show that evaluation of trust necessitates both technical and non-technical approaches that need to be assessed together to obtain an all-in exclusive solution. Trust has been studied in six different domain approaches to fulfill the requirements of cloud users. The motivation in this study is to develop a trust-scale that consists of metrics which are based on observable facts. Such a trust-scale is expected to help cloud users in their trust evaluation of different cloud service providers.Ultimately, the trust-scale is formed with its metrics and subparts and fine-tuned by using the survey data as to map the expert point of view. The proposed evaluation methodology and scale helps cloud users in their trust assessment of diverse cloud service providers using observable and quantifiable metrics.ivAs a result, the accuracy tests of the metric that is developed in this study resulted as %95 accurate with the expert point-of-view. This accuracy test result points out that the trust scale is capable to evaluate trust at a sufficient level of trust.