An Efficient Mechanism for Data handling and Management in Cloud Computing Environment

Abstract

— In this paper an efficient data handling mechanism has been applied for the cloud computing environment. Data weight has been assigned based on the file size and random attribution scaling for the preprocessing. The division of data sensitivity is based on the ten attributes and it has been selected based on the information and size. Then for grouping alike elements k-means clustering has been applied based on at max five clusters. It has been applied for the data sensitivity analysis and encryption process. It will be beneficial as the labelling has been done through this approach. The approach shows the effectiveness in terms of data categorization and processing in terms of cloud computing environment.

Keywords- Data handling; Cloud computing; data categorization; K-means.