Privacy Preserving Mining using Data Encryption scheme for Hadoop Ecosystem

Authors: Sonal Jain, Mohit Jain

Published in: IJRRETAS, Volume 5, Issue 10, pp. 1-6 (24 Nov 2025)

Impact Factor: 4.75 (2019)

License: CC BY 4.0 CC BY 4.0 (Open Access)

Certificate: View Certificate

Abstract

Nowadays, explosive amount of data is being generated every day. Data from sensors, mobile devices, social networking websites, scientific data & enterprises – all are contributing to this huge explosion in data. This sudden bombardment can be grasped by the fact that we have created a vast volume of data in the last two years. Big Data- as these large chunks of data is generally called- Big Data and has become one of the hottest research trends today. Research suggests that tapping the potential of this data can benefit businesses, scientific disciplines and the public sector contributing to their economic gains as well as development in every sphere. Security is one of the important features to keep information safe and secure from unwanted and unintended data. Study of existing work concludes that HDFS does not have any security framework or algorithm to keep data safe and secure. This work proposed a solution to perform encryption of large data going to be put into HDFS as safe and secure.

Keywords
  • Hadoop
  • Map Reduce
  • Blowfish
  • Data Encryption
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How to Cite
APA: Jain, S., & Jain, M. (2025). Privacy Preserving Mining using Data Encryption scheme for Hadoop Ecosystem. International Journal for Rapid Research in Engineering Technology & Applied Science, 5(10), 1–6. https://ijrretas.com/research-paper/privacy-preserving-mining-using-data-encryption-scheme-for-hadoop-ecosystem-