A Major Threat to Big Data

Abstract

Big Data has nowadays become the most talked latest IT trends. The fact that it can handle all the forms of data which includes unstructured data, big data has now become the preferred choice for analysis of huge amount of data over the Relational Database Management System(RDBMS). Big Data is helpful for the analysis of petabytes of data which is not possible in case of normal database system. But as everything comes with pros and cons so does big data. There are certain challenges which big data analytics is facing. The various challenges include validating the end point input, handling enormous amount of data on a very large scale, ensuring the security of transactional data, ensuring the safe and secure storage of data, sharing of variants of data with third party and analyzing those data without skipping even a single piece of information in order to generate reports and draw a conclusion. In this paper, we will be considering the major challenge to the big data and that is data security. Even with enormous advantages, the industry is taking a backseat for the shift from normal database to big data because of the data privacy concern. Even many big organizations don't consider big data to be a safe option as the data can be accessed by anyone. Certain different methods like the encryption-decryption technique, anonymization based, etc have been suggested by the researchers who are working to overcome the major threat of Big Data i.e. Data security. But unfortunately because of the 3 V's of the Big Data as stated by Gartner i.e. Velocity, Volume and Variety these methods didn't prove to be advantageous. Basically in this paper we will be discussing the various concern issues of Big data, out of which our main focus will be on data security.