arrow
返回

Blind Authentication: A Secure Crypto-Biometric Verification Protocol

delete2010-06-01
delete90
delete
OA
AI
M
Maneesh Upmanyu *
A
Anoop Namboodiri
K
Kannan Srinathan
C
C. V. Jawahar
DOI:10.1109/TIFS.2010.2043188delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Concerns on widespread use of biometric authentication systems are primarily centered around template security, revocability, and privacy. The use of cryptographic primitives to bolster the authentication process can alleviate some of these concerns as shown by biometric cryptosystems. In this paper, we propose a provably secure and blind biometric authentication protocol, which addresses the concerns of user's privacy, template protection, and trust issues. The protocol is blind in the sense that it reveals only the identity, and no additional information about the user or the biometric to the authenticating server or vice-versa. As the protocol is based on asymmetric encryption of the biometric data, it captures the advantages of biometric authentication as well as the security of public key cryptography. The authentication protocol can run over public networks and provide nonrepudiable identity verification. The encryption also provides template protection, the ability to revoke enrolled templates, and alleviates the concerns on privacy in widespread use of biometrics. The proposed approach makes no restrictive assumptions on the biometric data and is hence applicable to multiple biometrics. Such a protocol has significant advantages over existing biometric cryptosystems, which use a biometric to secure a secret key, which in turn is used for authentication. We analyze the security of the protocol under various attack scenarios. Experimental results on four biometric datasets (face, iris, hand geometry, and fingerprint) show that carrying out the authentication in the encrypted domain does not affect the accuracy, while the encryption key acts as an additional layer of security.
Keyword:
Artificial neural networks
biometrics
cryptosystems
privacy
public key cryptography
security
support vector machines (SVMs)

期刊

IEEE Transactions on Information Forensics and Security 封面图
IEEE Transactions on Information Forensics and Security
IF:
8
论文数:
5.3K
被引数:
2.3W

机构

I
International Institute of Information Technology Hyderabad
学者数:
779
论文数: 685
被引数: 5
引用论文

引用论文

Classic performance indexes revisited: axiomatic and applications
err2012-03-01
err0
PREAI
errFernando Gómez-Bezares; Fernando R. Gómez-Bezares
err分享
err收藏
Early cortical processing of pitch height and the role of adaptation and musicality
err2021-01-01
err0
errOAAI
errMartin Andermann; Melanie Günther; Roy D. Patterson; André Rupp
err分享
err收藏
An analysis of BioHashing and its variants
err2006-07-01
err161
PREAI
errKong, Adams; Cheung, King-Hong; Zhang, David; Kamel, Mohamed; You, Jane
err分享
err收藏
err分享
err收藏
4‐Aminobutyraldehyde Dehydrogenase Activity in Rat Brain
err2006-10-05
err0
PREAI
errKozue Tago; Susumu Kurioka; Makoto Matsuda
err分享
err收藏
学者 查看更多内容