UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1906G65


Registration ID:
216530

Page Number

1097-1103

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Title

SECURE AND EFFICIENCY BASED IDENTIFICATION OF BIOMETRIC DATA FILE IN CLOUD COMPUTING

Abstract

Biometric is the term that alludes to person attributes, gives the estimations and computation of a human body. Securing information has been a focused undertaking since years. Biometric information has turned into a requested security for one's recognizable proof and confirmation. Advanced technologies like cloud computing provoked database owners to unload the large size of biometric data and identifying tasks to the cloud to exterminate expensive storage and computational costs, which will surely bring optimistic threats to user’s privacy. The boundless appropriation of biometric data requires strong security assurance against possible misuse, loss, or theft of biometric data.. Existing methods for security preserving biometric data essentially depend on customary cryptographic natives, for example, homomorphic encryption and oblivious exchange, which definitely acquaint huge expense with the framework and are not relevant to practical large scale applications. This paper proposes efficient scheme with different levels of security to protect Biometric data in cloud computing. Particularly, to implement Biometric identification, the database proprietor encrypts the data and outsources it to the cloud server. By encrypting the data which will then be appearing in a cipher-text form and then eradicating it to the cloud will preserve user privacy and efficiency of storage also increases. The cloud server will then execute the identification process with the encrypted data sent by the data owner and send back the result to the database owner. A broad security investigation or in-depth estimation states that proposed plan is secure against malicious users or attackers who can forge identification requests and converge with the cloud.

Key Words

User, Data Owner, Cloud Server, Security, Efficiency, Biometric Identification.

Cite This Article

"SECURE AND EFFICIENCY BASED IDENTIFICATION OF BIOMETRIC DATA FILE IN CLOUD COMPUTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.1097-1103, June 2019, Available :http://www.jetir.org/papers/JETIR1906G65.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"SECURE AND EFFICIENCY BASED IDENTIFICATION OF BIOMETRIC DATA FILE IN CLOUD COMPUTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp1097-1103, June 2019, Available at : http://www.jetir.org/papers/JETIR1906G65.pdf

Publication Details

Published Paper ID: JETIR1906G65
Registration ID: 216530
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 1097-1103
Country: RAICHUR, KARNATAKA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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