ANOMALY DETECTION IN HYBRID CLOUD DATA PROCESSING

Abstract: The cloud is extensively utilized, yet it comes with its own set of concerns and threats to users' privacy. When compared to more conventional computer frameworks, the shared computing infrastructure known as the cloud presents a significant number of security vulnerabilities. It is never feasible to have complete faith in the cloud provider or tenants who store their data in a shared environment since there is always the possibility that they may leak data at any point of the compute process. Because of these problems with cloud computing, there is a requirement for a secure framework to carry out analytics activities, and cryptographic tools need to be developed in order to safeguard sensitive data while it is being stored and while it is in transit. The majority of companies have a dilemma when it comes to protecting large amounts of data while it is being stored.