Implementation of Digital Signature Algorithm using Big Data Sensing Environment
M.J. Bharathi1, V.N. Rajavarman2, R. Shobarani3
1M.J. Bharathi, Research Scholar, Dr. M.G.R. Educational and Research Institute.
2V.N. Rajavarman, Professor & Deputy Dean, Dr. M.G.R. Educational and Research Institute.
3R. Shobarani, Professor, Dr. M.G.R. Educational and Research Institute.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 4128-4131 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B4959129219/2019©BEIESP | DOI: 10.35940/ijeat.B4959.129219
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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: WBAN is a self-governing and perceptive used to informant the activities of a person and to improve the individuality of people, which satisfies the requirements of the user’s needs. In this paper, we propose a Big data retrieval unit in WBAN using Elliptical Curve Cryptography. Big data transmit the data through Map reduce and retrieve the data safely using ECCDS algorithm. Map-reduce is a programming method for accessing multiple data sets on multi-node hardware efficiently using a distributed storage process and it incorporate the entire in-between requirements connected via the identical in-among key in . Cloud Sim extensible toolkit is used to enable the modeling and to enhance the application provision.
Keywords: Map reduce algorithm, Hadoop, Cloudsim Architecture, WBAN Architecture.