A Comparative Approach to Secure Data Storage Model in Hadoop Framework

Abstract

With predominant use of cloud applications, the huge volume of data is generated. This generated data should be handled with minimum fault tolerance and this can be achieved with distributed file systems such as HDFS (Hadoop Distributed File System). It is an open source storage framework which is reliable, user-friendly and provides low-cost service to the consumers. As Hadoop works on large data storage thus developing the HDF system with secured data is the main concern. The security concern can be cured by adding data level encryption to protect sensitive information which avoids information leakage. This paper depicts the implementation of two symmetric cryptographic algorithms, i.e., AES and BlowFish. Later, comparative analysis for the proposed system is represented graphically in this paper.