生物识别
计算机科学
密码
计算机安全
认证(法律)
加密
指纹(计算)
生物特征数据
方案(数学)
数学分析
数学
作者
Haoyang Wang,Kai Fan,Hongyan Chen,Qi Chen,Kuan Zhang,Fenghua Li,Hui Li,Yintang Yang
出处
期刊:IEEE Transactions on Dependable and Secure Computing
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:: 1-16
被引量:5
标识
DOI:10.1109/tdsc.2022.3186999
摘要
Biometric applications makes biometric authentication replace the traditional password in many cases. Biometric recognition technology has the advantages of convenience and high stability, facilitating identity recognition. However, the shortcoming of biometric authentication is easy to be stolen and leaked, which raises security concerns. In this paper, we design a lightweight joint biometric authentication scheme (SELBA) based on face and fingerprint. We improve searchable encryption (SE) to protect the privacy security of extracted biometric features in the storage and authentication stage. Because of the problem that biometric features cannot be changed or retrieved once leaked in existing schemes, we propose a cancelable mechanism to reconstruct stolen or damaged biometric templates. Moreover, we make a complete security analysis of the SELBA to meet the confidentiality, renewability, revocability, irreversibility and unlinkability of template in biometric recognition. Meanwhile, we conduct experiments on real data sets to show that SELBA is secure, efficient and easy to use in practical application scenarios.
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