Enhanced Classification and DNA Security on Large Scale Dataset

Abstract

In today’s rapidly growing world, handling big data is difficult as it raises many concerns like analyzing the data, ease of accessibility, efficient storage, effective management as well as enhanced security. Therefore there is a need of a mechanism that can make the machine effectively learn the way to handle data along with proper authentication of data. So in this paper, we propose a mechanism in which all the above concerns are achieved. The mechanism consists of Pre-Processing of raw data that is fed as an input for Enhanced Classification which in turn produces blocks of data with the help of Enhanced Map-Reduce algorithm that is deployed in the public cloud with the unique identification of hash code generated for every block. The authentication of data for encryption and decryption processes is carried out with the help of DNA algorithm. Thus this scheme projects a beneficial approach in terms of security analysis and numerical analysis over bigdata.

Keywords:KNN classification, Hash Code generation, MD5 algorithm, DNA algorithm, Enhanced Map-Reduce, Cloud Computing.