Secure Fingerprint Authentication with Homomorphic Encryption

被引:7
|
作者
Yang, Wencheng [1 ]
Wang, Song [2 ]
Yu, Kan [3 ]
Kang, James Jin [3 ]
Johnstone, Michael N. [1 ]
机构
[1] Edith Cowan Univ, Secur Res Inst, Sch Sci, Cyber Secur Cooperat Res Ctr, Churchlands, WA 6027, Australia
[2] La Trobe Univ, Sch Engn & Math Sci, Bundoora, Vic 3086, Australia
[3] Edith Cowan Univ, Sch Sci, Churchlands, WA 6027, Australia
来源
2020 DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA) | 2020年
关键词
Fingerprint authentication; template protection; homomorphic encryption; biometrics;
D O I
10.1109/DICTA51227.2020.9363426
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Biometric-based authentication has come into recent prevalence in competition to traditional password- and/or token-based authentication in many applications, both for user convenience and the stability/uniqueness of biometric traits. However, biometric template data, uniquely linking to a user's identity, are considered to be sensitive information. Therefore, it should be secured to prevent privacy leakage. In this paper, we propose a homomorphic encryption-based fingerprint authentication system to provide access control, while protecting sensitive biometric template data. Using homomorphic encryption, matching of biometric data can be performed in the encrypted domain, increasing the difficulty for attackers to obtain the original biometric template without knowing the private key. Moreover, the trade-off between the computational overload and authentication accuracy is studied and experimentally verified on a publicly available fingerprint database, FVC2002 DB2.
引用
收藏
页数:6
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