Asian Journal of Computer Science and Technology (AJCST)
Providing Security to Ensure Biometric Identification System in Cloud
Author : Bhuvaneswari Kotte and T. Sirisha MadhuriVolume 8 No.3 Special Issue:June 2019 pp 128-132
Abstract
Biometric identification has rapidly growing in recent years. With the development of cloud computing, database owners are incentivized to outsource the bulk size of biometric data and identification tasks to the cloud to liberate the costly storage and computation costs, which however brings potential attacks to users’ privacy. In this paper, we propose an adequate and security to keep biometric identification outsourcing scheme. Categorically, the biometric data is encrypted and outsourced to the cloud server. To get a biometric identification, the database owner encrypts the query data and submits it to the cloud. The cloud implements identification operations over the encrypted database and returns the result to the database owner. An exhaustive security analysis indicated the proposed scheme is secure even if attackers can forge identification requests and collude with the cloud. Compared with antecedent protocols, experimental results show the proposed scheme achieves a better performance in both preparation and identification procedures.
Keywords
Biometric Identification, Cloud, Model and Design Goals, Security Analysis
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