ABSTRACT:
Biometric identification has become
increasingly popular in recent years. With the development of cloud computing,
database owners are motivated to outsource the large size of biometric data and
identification tasks to the cloud to get rid of the expensive storage and
computation costs, which however brings potential threats to users’ privacy. In
this paper, we propose an efficient and privacy-preserving biometric
identification outsourcing scheme. Specifically, the biometric data is
encrypted and outsourced to the cloud server. To execute a biometric
identification, the database owner encrypts the query data and submits it to
the cloud. The cloud performs identification operations over the encrypted
database and returns the result to the database owner. A thorough security
analysis indicates the proposed scheme is secure even if attackers can forge
identification requests and collude with the cloud. Compared with previous
protocols, experimental results show the proposed scheme achieves a better
performance in both preparation and identification procedures.
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
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System : Pentium Dual Core.
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Hard Disk : 120 GB.
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Monitor : 15’’ LED
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Input Devices : Keyboard, Mouse
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Ram : 1 GB
SOFTWARE REQUIREMENTS:
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Operating system : Windows 7.
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Coding Language : JAVA/J2EE
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Tool : Netbeans 7.2.1
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Database : MYSQL
REFERENCE:
LIEHUANG ZHU, CHUAN
ZHANG, CHANG XU, XIMENG LIU, AND CHENG HUANG, “An Efficient and
Privacy-Preserving Biometric Identification Scheme in Cloud Computing”, IEEE
Access 2018.