Hadoop Distributed File System Hybrid Encryption Algorithm for Big Data Security

Khushi Ram , Prof (Dr.) Mukesh Singla

Big data security, Hadoop, data encryption and decryption

Big Data has become a crucial asset for organizations, but its security remains a significant concern. Traditional encryption algorithms may not provide sufficient protection for large-scale distributed systems like Hadoop Distributed File System (HDFS). To address this challenge, this paper present a hybrid encryption algorithm that combines the strengths of both symmetric and attribute-based encryption techniques for enhanced security of Big Data in HDFS.The present algorithm utilizes the Advanced Encryption Standard (AES) as a symmetric encryption algorithm and Cipher Policy Attribute-Based Encryption (CP-ABE) for attribute-based encryption. This two-tier security approach enables the encryption of file attributes using CP-ABE and the encryption of the file itself using AES with the key generated by CP-ABE. This combination enhances data security while also facilitating the identification of intruders during the decryption process.The evaluation of the present hybrid encryption algorithm is performed by comparing it with traditional encryption algorithms, including Data Encryption Standard (DES), Triple DES (3DES), and Blowfish. The results demonstrate that the hybrid model outperforms these conventional algorithms in terms of encryption time, decryption time, throughput, and efficiency.

Published Paper   E-Certificate

"Hadoop Distributed File System Hybrid Encryption Algorithm for Big Data Security", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.1497 - 1505, March-2023, Available :https://ijsdr.org/papers/IJSDR2303263.pdf

Volume 8 Issue 3, March-2023

Pages : 1497 - 1505

Paper Reg. ID: IJSDR_206814

Published Paper Id: IJSDR2303263

Downloads: 000347286

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2303263

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2303263

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition