Sec HDFS: Efficient and Secure Data Storage Model over HDFS using RC6
K. Vishal Reddy1, Jayantrao B. Patil2, Ratnadeep R. Deshmukh3
1K. Vishal Reddy, Department of Computer Science and Engineering, Dr. B. A. M. University, Aurangabad, (M.S), India.
2Prof. Dr. Jayantrao B. Patil, Department of Computer Science and Engineering, R. C. Patel Institute of Technology, Shirpur, (M.S), India.
3Prof. Dr. Ratnadeep R. Deshmukh, Department of Computer Science & Information Technology, Dr. BAMU, Aurangabad, (M.S), India.
Manuscript received on November 23, 2019. | Revised Manuscript received on December 08, 2019. | Manuscript published on December 30, 2019. | PP: 3900-3903 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B4518129219/2019©BEIESP | DOI: 10.35940/ijeat.B4518.129219
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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: In today’s world the data used by various institutions and organizations is increasing and process petabytes of data per hour. Hence big data storage platform called Apache Hadoop is designed to process large amount of data, but it does not guarantee the security of user stored files in Hadoop. In this paper, a secure HDFS is designed for an efficient and secure data storage model. We encrypt and decrypt client data using RC6 symmetric block cipher. In this research work, Hadoop distributed file system (HDFS) is customized using RC6 which provides transparent end-to-end encryption on user’s data for read as well as write. Our proposed Sec HDFS will mitigate several security attacks such as replay attacks, data node impersonating attacks, and brute-force attacks. The proposed model imparts better results than the inbuilt AES symmetric algorithm.
Keywords: Sec HDFS, AES, RC6, and Hadoop Security.