Comparative study of encryption algorithm over big data in cloud systems

K. Sekar, Mokkala Padmavathamma · International Conference on Computing for Sustainable Global Development · 2016

Big data refers to data that is too large and complex to be processed. Big data handles voluminous amount of structured, semi structured and unstructured data with standard tools. Big Data also refers to the data where the volume, velocity or variety of data. It combines the historic data with the present data to predict the outcomes. In this regard, providing security for these data is a challenging task. Apache Hadoop was one of the tool designed to handle big data. Apache Hadoop along with other software products were used to process and interpret the results of big data. Hadoop includes various main components like Map reduce and HDFS for handling big data. Cloud computing is the technology that provides the online data storage. But here providing security is the key issue. In this paper, an integrated approach is introduced to encrypt and decrypt the data before sending on cloud. To achieve better performance and security performance analysis on different techniques can be applied based on different parameters.

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