Analysis of Multi-biometric Encryption at Feature-level Fusion

被引：0
|
作者：
Fu, Bo [1 ]
Lin, Jie [1 ]
Duan, Guiduo [1 ]
机构：
[1] UESTC, SCSE, Chengdu 610054, Peoples R China
来源：
PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012) | 2012年
基金：
美国国家科学基金会;
关键词：
Biometrics; Security; Encryption;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The basic concepts and methods on performance and effectiveness evaluations at the feature-level fusion model of multi-biometric encryption are concentrated on in this paper. From the cryptographic theory point of view, firstly, the formal definitions related to multi-biometric cryptosystems arc formulated. Under some extreme conditions, the security and privacy of multi-biometric cryptosystems at the feature level are analyzed and rigorously proved. Finally, a close relationship between security and privacy and the fundamental tradeoff between the accuracy and security are studied.
引用
收藏
页码：4569 / 4573
页数：5
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