基于双随机相位编码的密钥管理安全多模态生物特征认证

Eman Tarek, O. Ouda, A. Atwan
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引用次数: 0

摘要

多生物识别系统比单生物识别系统更有效和可靠,因为它们可以提供更低的错误率以及对欺诈和子系统故障的鲁棒性。然而,在大规模生物识别应用中部署多生物识别系统增加了用户隐私侵犯的风险,因为一旦多生物识别系统被泄露;多个生物特征被披露给对手。因此,保护存储在多生物识别系统集中数据库中的生物识别模板已成为允许这些系统广泛部署的必要先决条件。本文提出了一种基于双随机相位编码(DRPE)的多生物识别系统图像模板保护方法。DRPE是一种众所周知的图像加密方案,因此它更适合于保护基于图像的生物识别模板。首先,该方法将随机生成的密钥编码为二值图像。其次,从两种不同的生物识别模式捕获的两幅图像的相位分量;也就是说,将掌纹和指纹进行卷积以产生与二进制图像编码密钥大小相同的多生物特征图像。最后,采用多生物特征图像作为密码密钥,使用DRPE对图像编码密钥进行加密。在身份验证过程中,只有向系统提供真实的生物特征图像,才能正确地恢复编码的密钥;否则,认证过程将失败。因此,该方法不仅可以保护基于图像的生物特征模板,而且可以为加密密钥的安全提供可靠的手段。实验结果表明,该方法在不牺牲底层无保护生物特征识别系统的识别精度的前提下,可以同时保护生物特征模板和密码密钥。
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A secure Multimodal Biometric Authentication with Cryptographic key Management Using Double Random Phase Encoding
Multibiometric systems are more efficient and reliable than unibiometric systems as they can provide lower error rates as well as robustness against frauds and subsystem failures. However, the deployment of multibiometric systems in large-scale biometric applications increases the risk of users‟ privacy violation because once a multibiometric system is compromised; multiple biometric traits are disclosed to adversaries. As a result, protecting biometric templates stored in centralized databases of multibiometric systems has become a necessary prerequisite to allow wide-spread deployment of these systems. In this paper, we propose a biometric template protection method for securing image templates in multibiometric systems using the double random phase encoding (DRPE) scheme. DRPE is a well-known image encryption scheme and therefore it is more suited to secure image-based biometric templates. First, the proposed method encodes a randomly generated key as a binary image. Second, the phase components of two images captured from two different biometric modalities; namely, palmprint and fingerprint are convolved to produce a multi-biometric image of the same size as the binary image-encoded key. Finally, image-encoded key is encrypted using DRPE employing the multi-biometric image as a cipher key. During authentication, the encoded key is correctly recovered only if genuine biometric images are presented to the system; otherwise, the authentication process fails. Therefore, the proposed method can not only protect image-based biometric templates but also can provide a reliable means for securing cryptographic keys. Experimental results illustrate that the proposed method can secure both biometric templates and cryptographic keys without sacrificing the recognition accuracy of the underlying unprotected biometric recognition system.
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