Volume : VI, Issue : XI, November - 2017

A Study on Authentication Challenges for Big Data in Public Cloud

Ashok Kumar J, Gopinath Ganapathy

Abstract :

 Big data applications are of great benefit to Organizations, Governments,  companies, business, small and large scale industries. It is the De-facto standard for analyzing both streaming and static large data sets. It provides the predictive and historical results for critical decisions making. However, data security and privacy is the biggest concern in Big Data as it collects sensitive information from trusted or non trusted consumers. Data for this research are collected from a case study of Big data application platforms and Cloud Security Alliance (CSA). This paper, first discusses about the highlights of Big data security issues in Cloud Computing and improving further collaborative research for mitigating both security and privacy challenges relating to big data. Secondly, this paper elucidates the Kerberos authentication mechanism under HDFS and ings out the security issues and the computational performance that Kerberos identity authentication mechanism faced in HDFS cluster environment. Finally this paper elucidates the implementation of GnuPG for encryption or decryption of data for enhancing the data security, users privacy and access control in Hadoop Cluster. < clear="all" style="page-eak-before:always;mso-eak-type:section-eak" />

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Article: Download PDF    DOI : https://www.doi.org/10.36106/gjra  

Cite This Article:

Ashok Kumar J, Gopinath Ganapathy, A Study on Authentication Challenges for Big Data in Public Cloud, GLOBAL JOURNAL FOR RESEARCH ANALYSIS : VOLUME-6, ISSUE-11, NOVEMBER-2017

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