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THRIVE: threshold homomorphic encryption based secure and privacy preserving biometric verification system

机译:THRIVE:基于阈值同态加密的安全和隐私保护生物特征验证系统

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摘要

In this paper, we introduce a new biometric verification and template protection system which we call THRIVE. The system includes novel enrollment and authentication protocols based on threshold homomorphic encryption where a private key is shared between a user and a verifier. In the THRIVE system, only encrypted binary biometric templates are stored in a database and verification is performed via homomorphically randomized templates, thus, original templates are never revealed during authentication. Due to the underlying threshold homomorphic encryption scheme, a malicious database owner cannot perform full decryption on encrypted templates of the users in the database. In addition, security of the THRIVE system is enhanced using a two-factor authentication scheme involving user's private key and biometric data. Using simulation-based techniques, the proposed system is proven secure in the malicious model. The proposed system is suitable for applications where the user does not want to reveal her biometrics to the verifier in plain form, but needs to prove her identity by using biometrics. The system can be used with any biometric modality where a feature extraction method yields a fixed size binary template and a query template is verified when its Hamming distance to the database template is less than a threshold. The overall connection time for the proposed THRIVE system is estimated to be 336 ms on average for 256-bit biometric templates on a desktop PC running with quad core 3.2 GHz CPUs at 10 Mbit/s up/down link connection speed. Consequently, the proposed system can be efficiently used in real-life applications.
机译:在本文中,我们介绍了一种称为THRIVE的新型生物特征验证和模板保护系统。该系统包括基于阈值同态加密的新颖的注册和身份验证协议,其中在用户和验证者之间共享私钥。在THRIVE系统中,只有加密的二进制生物特征模板存储在数据库中,并且通过同态随机模板执行验证,因此,原始模板在身份验证期间永远不会泄露。由于存在底层阈值同态加密方案,恶意数据库所有者无法对数据库中用户的加密模板执行完全解密。此外,使用涉及用户私钥和生物特征数据的两因素身份验证方案,可以增强THRIVE系统的安全性。使用基于仿真的技术,该提议的系统在恶意模型中被证明是安全的。所提出的系统适用于用户不想以简单的形式向验证者透露其生物特征,但需要通过使用生物特征证明其身份的应用。该系统可用于任何生物特征识别方式,其中特征提取方法产生固定大小的二进制模板,并且当查询模板到数据库模板的汉明距离小于阈值时,将对查询模板进行验证。对于台式机上运行256位四核3.2 GHz CPU的256位生物识别模板,拟议的THRIVE系统的总体连接时间估计平均为336 ms,上行/下行链路连接速度为10 Mbit / s。因此,提出的系统可以有效地用于现实生活中。

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