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Biometric Identification System in Cloud Computing Using Blockchain
K. Sujana Kumari1, G. Murali2

1K. Sujana Kumari, M.Tech Student, Department of Computer Science and Engineering, JNTUA College of Engineering, Pulivendula (Andra Pradesh), India.
2Dr. G. Murali, Assistant Professor, Department of Computer Science and Engineering, JNTUA College of Engineering, Pulivendula (Andra Pradesh), India.
Manuscript received on 13 October 2019 | Revised Manuscript received on 22 October 2019 | Manuscript Published on 02 November 2019 | PP: 998-1001 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B11670982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1167.0982S1119
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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: Block-chain is a distributed immutable ledger technology. It consisting of blocks, and each block contains multiple transactions. Block-chain consists a secure hash, timestamp, data of the current block, and the hash value of the previous block. Block- chain records all transactions across the network so that it cannot be altered retroactively without the alteration of all subsequent blocks and the consensus of the network. Biometric identification system usage has increased as it provides an auspicious way to identify users. While compared with traditional authentication methods Biometric is more reliable and convenient. Block-chain was designed initially to solve double spending problems in peer-to-peer payment system of Bitcoin. But, since then it applications gone through the original intended use because of its properties, i.e. decentralization, immutability, no trusted authority and auditability. In this paper we propose how this Block-chain technology can have applied in biometric identification scheme like aadhar in cloud server-to make aadhar more transparent.
Keywords: Block-chain, Biometric, Immutability, Aadhar, Cloud.
Scope of the Article: Cloud Computing