Data Encryption in HDFS

Nikumbh, Rushikesh Manoj (2023) Data Encryption in HDFS. Masters thesis, Dublin, National College of Ireland.

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Abstract

Hadoop’s Hadoop Distributed File System (HDFS) faces security challenges such as internode communication vulnerabilities, replication storage mode vulnerabilities, and user access monitoring. Traditional encryption techniques can increase data size and slow down performance. Therefore, this research will focus on modifying specific variants of the Blowfish block-cipher encryption algorithm to improve efficiency and security in HDFS. In this research, a successful studies related to challenges in HDFS were conducted. Also the implementation of blowfish algorithm for storage and retrieval of file in HDFS was experimented. The method implemented showed improved performance with compared with other algorithms - DES and 3DES.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Sahni, Vikas UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Ciara O'Brien
Date Deposited:	09 Apr 2025 14:05
Last Modified:	09 Apr 2025 14:05
URI:	https://norma.ncirl.ie/id/eprint/7397

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