Establishing Trust in the Cloud Using Machine Learning Methods

Abstract

In the modern era of digitization, cloud computing is playing an important key role. Tons of user’s data is on the cloud and to manage it with all the odds is a mesmerizing task. To provide user’s data integrity and security are the major task for any cloud service provider. In the last few decades, researchers have been motivated to provide security on a cloud with reference to the categorization and classification of security concerns. In the cloud, trust is a major issue with respect to cloud security. The facilities provided by the cloud are too attractive for customers. Cloud has distributed and non-transparent services due to that the users may lose their control over the data and they are not sure whether the cloud provider is trusted one or not. This paper mainly focuses on establishing trust in the cloud using machine learning methods. The trust parameters like availability, confidentiality, accuracy, integrity, resource management, non-repudiation, risk management, protecting communication, hardware security, reliability, and secure architecture were analyzed, and the result shows the value of trust for system can be predicted based on the proposed algorithm.