Securing Big Data Hadoop : A Review of Security Issues , Threats and Solution

Hadoop projects treat Security as a top agenda item which in turn represents which is again classified as a critical item. Be it financial applications that are deemed sensitive, to healthcare initiatives, Hadoop is traversing new territories which demand security-subtle environments. With the growing acceptance of Hadoop, there is an increasing trend to incorporate more and more enterprise security features. In due course of time, we have seen Hadoop gradually develop to label important issues pertaining to, what we summarize as 3ADE (authentication, authorization, auditing, and encryption) within a cluster. There is no dearth of Production environments that support Hadoop Clusters.In this paper, we aim at studying “Big Data” security at the environmental level, along with the probing of built-in protections and the Achilles heel of these systems, and also embarking on a journey to assess a few issues that we are dealing with today in procuring contemporary Big Data and proceeds to propose security solutions and commercially accessible techniques to address the same. Keywords—Big Data, SASL, delegation, sniffing, cell level, variety, unauthorized