Augmented Cloud Security with Performance using Machine Learning
Cloud computing is a rapid technology which increases day by day to store, share and process personal and public data. In this connection, users can access the data through the internet which are processed through the cloud servers. When outsourcing user's data among servers using network usually attacks from the different security issues, where security plays a significant role, therefore security and privacy are the major challenging issue due to extensive consent all over the globe, new risks and vulnerabilities have appeared too. In this paper, we recommended a framework that fragments the data concerning the security constraints. When we compare the performance of existing technologies is drastically improved by adding it with a machine learning technique. Where the basic algorithms of machine learning technique i.e. base and Meta level techniques are reformed, this will improve the prediction and classification accuracy among existing methods.
Keywords - Cloud Computing, Machine Learning, KNN Techniques, Privacy, Security, Classification.