Data protection on hadoop distributed file system by using encryption algorithms: A systematic literature review

Meisuchi Naisuty, Achmad Nizar Hidayanto, Nabila Clydea Harahap, Ahmad Rosyiq, Agus Suhanto, George Michael Samuel Hartono

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

Big data has capability to process huge amount of unstructured and structured data. Nowadays, technology is able to support business need by extracting massive amount of data and recognizing its pattern to predict future trends. It brings right insight in business strategy to gain tremendous benefit. Hadoop is a reliable technology which developed to distribute process and storage on big data efficiently. However, Hadoop doesn't have any built-in provision to encrypt data by default. Hadoop additional feature in encryption zone has security issue which key management does outside of HDFS. Sensitive and confidential data in HDFS can be exposed against security attack. Information security is fundamental concern and new set challenge for the world of big data. The main purpose of this paper is to protect Hadoop Distributed File System data by using encryption algorithm. This is to ensure data is secured at storage level of HDFS. Dealing with big data, it is important to choose fast enough encryption algorithm that has great performance. Research methodology is SLR (System Literature Review) by using methodology of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses).

Original languageEnglish
Article number012012
JournalJournal of Physics: Conference Series
Volume1444
Issue number1
DOIs
Publication statusPublished - 4 Feb 2020
Event8th Engineering International Conference 2019 - Semarang, Indonesia
Duration: 16 Aug 2019 → …

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