生物识别密码系统中的模糊库：技术、性能和应用综述
Fuzzy Vaults in Biometric Cryptosystems: A Survey of Techniques, Performance, and Applications.
摘要(中文译文)
生物特征传感系统利用独特的生理特征实现准确的身份识别。这些系统可以是单模态的（单一特征）或多模态的（多种特征，如虹膜和指纹）。生物特征模板作为这些特征的数字表示，相比传统方法提升了安全性，但容易受到攻击。与密码不同，被泄露的模板无法更换，因此需要强有力的保护。现有的各种安全方案包括可撤销生物特征、生物特征密码系统、传感技术以及加密域中的生物特征。可撤销生物特征通过应用变换（如生物特征加盐）来混淆原始数据。生物特征密码系统整合了密码学技术（包括密钥生成和密钥绑定）以增强安全性。加密域中的生物特征（如同态加密）确保数据在存储和计算过程中保持加密状态。本综述聚焦于模糊保险库方法，一种密钥绑定型生物特征密码系统，分析了其在不同领域中的应用、安全性能及相关挑战。通过分析模糊保险库机制的进展，本文为增强基于传感器的生物特征安全提供了见解。本研究旨在为探索安全高效生物特征认证方法的研究人员提供参考，确保在现实应用中针对未经授权的访问提供强有力的保护，同时保持生物特征数据的完整性和可用性。
Abstract
Biometric sensing systems enable accurate identity recognition using unique physiological traits. These systems can be unimodal (single trait) or multimodal (multiple traits, such as iris and fingerprint). Biometric templates, digital representations of these traits, enhance security over traditional methods but are vulnerable to attacks. Unlike passwords, compromised templates cannot be replaced, necessitating robust protection. Various security schemes exist, including cancellable biometrics, biometric cryptosystems, sensing technology, and biometrics in the encrypted domain. Cancellable biometrics apply transformations, such as biometric salting, to obscure the original data. Biometric cryptosystems integrate cryptographic techniques, including key generation and key binding, to enhance security. Biometrics in the encrypted domain, such as homomorphic encryption, ensures data remains encrypted during storage and computation. This survey focuses on the fuzzy vault method, a key-binding biometric cryptosystem. It analyses its applications, security performance, and associated challenges across different domains. By analysing advancements in fuzzy vault mechanisms, this paper provides insights into enhancing sensor-based biometric security. The study aims to serve as a reference for researchers exploring secure and efficient biometric authentication methods, ensuring robust protection against unauthorised access while maintaining the integrity and usability of biometric data in real-world applications.
如何引用
AMA
Faria Farheen, Woo Yeol Yang, Sparsh Sharma, Saurabh Singh. Fuzzy Vaults in Biometric Cryptosystems: A Survey of Techniques, Performance, and Applications.. Sensors (Basel, Switzerland). 2026; doi:10.3390/s26092825.
APA
Faria Farheen, Woo Yeol Yang, Sparsh Sharma, Saurabh Singh (2026). Fuzzy Vaults in Biometric Cryptosystems: A Survey of Techniques, Performance, and Applications.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26092825
GB/T 7714
Faria Farheen, Woo Yeol Yang, Sparsh Sharma, Saurabh Singh. Fuzzy Vaults in Biometric Cryptosystems: A Survey of Techniques, Performance, and Applications.[J]. Sensors (Basel, Switzerland), 2026 doi:10.3390/s26092825.
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