Data Protection On Cloud Using GWOA Model

In the current era, we can see that a lot of data lots of data is getting generated and it is getting stored in the cloud. Like earlier systems, people are not using a floppy disk, hard disk, and pen drive for storing the data. Each and every individual and organization are opting for cloud storage because of its flexibility. So, the medical field is also progressed and they are also storing their patient's sensitive data on the cloud. Benefits of storage there come to the security issues for protecting the privacy of the data. In this paper, we have implemented a framework to protect patients' sensitive information on the cloud. We have combined two metaheuristic algorithms, the Glowworm Swarm Optimization algorithm and the Whale Optimization algorithm, and developed GSOA that is a glowworm Swarm whale Optimization algorithm. The experiments are performed on the Cleveland data set.