ABSTRACT
Due to availability of various Cloud services, consumers need to have transparency regarding the services utilized as various services dier in computational performance. For increasing the transparency of cloud services utilized, accessing the operations performed on the processed data clearly outline the necessary information for enhancing trust. To learn the underlying processing performed on the data we propose to evaluate the rich features of the processed data. In this paper we apply rich models to uncover the inconsistencies produced in the output due to application of dierent operators for performing the same task. The purpose of this work is to enable cloud consumers to determine whether the cloud services utilized by the customer prove to be appropriate for the designated objective. The transparency induced by the proposed trust model would contribute to creating of trusted cloud environment. We demonstrate the eectiveness of our proposed method using a case study.
