Network Level Security In Hadoop Using WireLine Encryption

Authors

  • Prof S.A.Darade Computer Engineering, Sinhgad Institute of Technology & Science
  • Kiran Kamble Computer Engineering, Sinhgad Institute of Technology & Science
  • Gauravi Khanapure Computer Engineering, Sinhgad Institute of Technology & Science
  • Sneha Chavan Computer Engineering, Sinhgad Institute of Technology & Science
  • Komal Kumbhar Computer Engineering, Sinhgad Institute of Technology & Science

Keywords:

Big Data, Hadoop, HDFS, MapReduce, NameNode, DataNode.

Abstract

Hadoop is a open-source framework and a distributed system that provides a Distributed file system(HDFS)
and MapReduce. Hadoop is used on private clusters and is use to store sensitive data; as a result strong authentication
and authorization is necessary to protect private data. Adding security to Hadoop is challenging because all the
interactions do not follow the classic client-server architecture. To address these security challenges, the Keberoes
authentication mechanism is supplemented by delegation and capability like access tokens. A huge number of companies
have begun using the open source technology as Apache Hadoop Distributed File System to store and analyze large
volume of structured and unstructerd data which are captured from social media networks, websites, etc. There are
several ways a user access the data on Hadoop clusters. The goal is to explore some advanced methodologies which
deals with security and privacy concern for people who out-source data on Hadoop clusters.

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Published

2016-05-25

How to Cite

Prof S.A.Darade, Kiran Kamble, Gauravi Khanapure, Sneha Chavan, & Komal Kumbhar. (2016). Network Level Security In Hadoop Using WireLine Encryption. International Journal of Advance Engineering and Research Development (IJAERD), 3(5), 142–145. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/1446

Issue

Vol. 3 No. 5 (2016): Volume 3 Issue 5 May-2016

Section

Articles

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