基于同态加密的安全指纹认证

Wencheng Yang, Song Wang, Kan Yu, James Jin Kang, Michael N. Johnstone
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引用次数: 10

摘要

近年来,基于生物特征的身份验证在许多应用中与传统的基于密码和/或令牌的身份验证相竞争,这既是为了用户的便利性,也是为了生物特征的稳定性/唯一性。然而,生物识别模板数据,唯一链接到用户的身份,被认为是敏感信息。因此,应该对其进行安全保护,防止隐私泄露。在本文中,我们提出了一种基于同态加密的指纹认证系统,在提供访问控制的同时保护敏感的生物特征模板数据。利用同态加密,可以在加密域内对生物特征数据进行匹配,增加了攻击者在不知道私钥的情况下获取原始生物特征模板的难度。此外,还研究了计算过载和身份验证准确性之间的权衡,并在一个公开可用的指纹数据库FVC2002 DB2上进行了实验验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secure Fingerprint Authentication with Homomorphic Encryption
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.
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