Data Security Optimization at Cloud Storage using Confidentiality-based Data Classification

Data is the most assets for any organization, stored either in individual systems, server, or cloud platform. Cloud, one of the trending storage systems being adapted now a day is the state-of-the-art of the advanced technology. The major concern with this technological growth is privacy and security of data. Hoisting of data in this platform must be with privacy and security. Hence, there is an urge for service that provides security associated with data to the stake holders. Though the existing security for the data is provided at different levels incurred high cost in terms of processing time. This research aims at providing novel classification-based security algorithm (CBSA) composed with confidential-based classification and encryption with low cost. The confidential-based classification classifies the data into three different levels based on its degree of confidentiality; confidential-based encryption applies a suitable and proportional security mechanism dynamically to each of the levels of data. Thus, the data security process will become optimal and cost effective. The proposed algorithm has outperformed the existing algorithms in terms of processing time and entropy. The processing time and entropy of proposed algorithm has improved by 10%.