Literature review on cloud security using machine learning techniques

With technical linkages to Grid Computing, Utility Computing, and Distributed Computing, Cloud Computing is fast gaining traction. A cloud service provider, such as Amazon Web Service, IBM, Google Application, Microsoft Azure, and others, provides users with data storage and development applications that they can access from anywhere in the world. With the help of cloud service providers, data is stored and retrieved on a remote server. As data is sent to a remote internet server, maintaining security is paramount. Cloud service users are constantly concerned about data loss, security risks, and service interruptions. With the introduction of machine learning methodologies, learning-based security applications have recently gained interest in books. The most difficult aspect of these systems, however, is gathering realtime and impartial data. We discuss numerous data security approaches, their benefits, data protection difficulties, ongoing data security problems, smart data security methods, data-related security challenges in the cloud-based environment, and solutions that must be solved in this study.