PRIVACY PRESERVATION IN CLOUD ENVIRONMENT USING GLOWWORM SWARMBASED WHALE OPTIMIZATION ALGORITHM (GWOA) WITH 256 KEY SIZE IN CLEVELAND DATABASE

Cloud computing is one of the most important communication tool in this current world. Most of the organizations move their data from the local server to the cloud storage. Privacy and security is the main anxiety in the cloud computing environment when the organization tries to stores the sensitive data. Many healthcare industries also using cloud computing concept for storing their patient's data. Privacy preservation is required to store sensitive data. The novel architecture is used this research work for storing sensitive data in secure manner. The healthcare data can be filtered by using 2D IRR (2 D Infinite Impulse Response) filter which creates the filtered matrix. This filter matrix is used to preserve the healthcare data. Filter vector is the input of the proposed Glowworm Swarm-based Whale Optimization algorithm (GWOA) algorithm. GWOA is the combination of Glowworm Swarm Optimization (GSO) and Whale Optimization Algorithm (WOA). The output of the GWOA algorithm is stored on the data base and project to the user. Analysis of the proposed GWOA algorithm using Cleveland dataset with 256 key size for the metrics, like utility, and privacy.