A Proposed Model for Cloud Data Privacy Using Multi Criteria Decision System

Abstract

Data Privacy is very prominent domain in today’s era. Cloud requirements are changing on day by day basis, privacy issue will also update. Data Privacy is the most focusing area of cloud environment. Every user has high urge of it. Here the author has proposed High and low data privacy prediction has been proposed to assure the data privacy while using cloud environment. These two models are based on following parameters- Access Control, Identity Control and Authorization Control. Here we will demonstrate the new cloud data privacy model based on AHP method to compute the results. For setting up the model we have chosen their prominent privacy model i.e. Authorization, data privacy, and cloud environment. This paper Cloud Data Privacy Model based using AHP. The model will show the advantages, costs, opportunities, and hazards of cloud computing services for the three cloud computing service types. The findings of this study will help enterprises adopt a cloud privacy service model that meets their needs while also allowing for speedy application development.