基于容错学习的生物特征认证方案研究  

BIOMETRIC AUTHENTICATION SCHEME BASED ON RLWE

作　　者：柴虹 Chai Hong(College of Railway Technology,Lanzhou Jiaotong University,Lanzhou 730070,Gansu,China)

机构地区：[1]兰州交通大学铁道技术学院,甘肃兰州730070

出　　处：《计算机应用与软件》2023年第1期317-326,343,共11页Computer Applications and Software

基　　金：国家自然科学基金项目(61662043)。

摘　　要：基于环上的容错学习(Learning With Errors over Ring, RLWE)的生物特征认证技术是一种可隐私保护的后量子密码技术,它借助同态加密技术实现生物特征以密文形式完成匹配操作,从而能有效保护用户隐私。在介绍生物特征认证技术及全同态加密关键技术的基础上,从同态方案构造、生物特征认证方案设计及性能分析方面综述了LWE类生物特征同态认证方案,并对该领域面临的挑战和研究热点进行总结和展望。Biometric authentication technology based on learning with errors over ring(RLWE) is a post quantum cryptography with privacy-preserving, which can use homomorphic encryption technology to achieve the biological characteristics of the ciphertext to complete the matching operation, so as to effectively protect the privacy of users. This paper introduced the biometrics authentication technology and homomorphic encryption technology, and discussed the biometric authentication based on RLWE homomorphic encryption scheme in terms of homomorphic scheme construction, biometric authentication scheme designing and performance analysis. The challenges and research hotspots in this field were also summarized and forecasted.

关 键 词：生物特征认证 隐私保护 同态加密 RLWE 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]