A Compendious Study on Security Challenges In Big Data and Approaches of Feature Selection

  • Muneeswaran V, Dr. B. BenSujitha, Dr. Ben Sujin, Nagaraj P

Abstract

On today’s scenario Big Data plays an important role with high growth. Those data can undergo a great problem of threat. To identify the attack or vulnerabilities in the big data is one of the important tasks. The classification task is so tedious and time consuming. The computation complexity increase when there is increase in the input data.  To reduce the computation complexity; the feature selection is the essential approach handled before the classification. It is definite to choose the best selection technique with the variety of data. This paper gives the detail study about the variety of big data, challenges in the security, existing feature selection methods and the proposed feature selection approach. Based on the analysis of the parameters it is heavily applicable to process any type of big data.

Published
2020-03-31
How to Cite
Muneeswaran V, Dr. B. BenSujitha, Dr. Ben Sujin, Nagaraj P. (2020). A Compendious Study on Security Challenges In Big Data and Approaches of Feature Selection. International Journal of Control and Automation, 13(03), 23 - 31. Retrieved from https://sersc.org/journals/index.php/IJCA/article/view/11521