A Novel Encryption Scheme for Securing Data in HDFS Environment Inspired By DNA
Shahrabanu Haidari1, Amiya Kumar Dash2, Jitendra Kumar Rout3
1Shahrabanu Haidari , M.Tech, computer science and security information brunch, School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India.
2Amiya Kumar Dash , Assistant Professor in School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India.
3Jitendra Kumar Rout, Assistant Professor in School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 24, 2020. | Manuscript published on March 30, 2020. | PP: 4034-4038 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9379038620/2020©BEIESP | DOI: 10.35940/ijrte.F9379.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Today, the majority of industries used Hadoop for processing their data. Hadoop is an open-source and programming based framework that has many components. One of them is HDFS (Hadoop Distributed Files System) that is used to stored data. Hadoop by default does not have any security mechanism. According to the previous study authentication, authorization, and Data encryption are the principal techniques to enhance the security in HDFS. As huge volume of data is stored in HDFS, encryption of massive data will consume more time and need more resources for operations. In this paper we have developed one DNA based that used confusion and Diffusion for securing data in HDFS. This proposed algorithm is efficient as compared to other encryption algorithm.
Keywords: Hadoop, Security, Big Data, Encryption .
Scope of the Article: Big Data Security.