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Cancelable Biometrics Vault: A Secure Key-Binding Biometric Cryptosystem based on Chaffing and Winnowing

机译:取消的生物识别器库:基于Chaffing和Winnowing的安全键绑定生物识别密码系统

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Existing key-binding biometric cryptosystems, such as the Fuzzy Vault Scheme (FVS) and Fuzzy Commitment Scheme (FCS), employ Error Correcting Codes (ECC) to handle intra-user variations in biometric data. As a result, a trade-off exists between the key length and matching accuracy. Moreover, these systems are vulnerable to privacy leakage, i.e., it is trivial to recover the original biometric template given the secure sketch and its associated cryptographic key. In this work, we propose a novel key-binding biometric cryptosystem framework, referred to as Cancelable Biometrics Vault (CBV), to address the above two limitations. The CBV framework is inspired by the cryptographic principle of chaffing and winnowing. It utilizes the concept of cancelable biometrics (CB) to generate secure biometric templates, which in turn are used to encode bits in a cryptographic key. While the CBV framework is generic and does not rely on a specific biometric representation, it does assume the availability of a suitable (satisfying the requirements of accuracy preservation, non-invertibility, and non-linkability) CB scheme for the given representation. To demonstrate the usefulness of the proposed CBV framework, we implement this approach using an extended BioEncoding scheme, which is a CB scheme appropriate for bit strings such as iris-codes. Unlike the baseline BioEncoding scheme, the extended version proposed in this work fulfills all the three requirements of a CB construct. Experiments show that the decoding accuracy of the proposed CBV framework is comparable to the recognition accuracy of the underlying CB construct, namely, the extended BioEncoding scheme, regardless of the cryptographic key size.
机译:现有的键绑定生物识别密码系统,例如模糊Vault方案(FVS)和模糊承诺方案(FCS),采用纠错码(ECC)来处理生物识别数据的用户内变化。结果,在关键长度和匹配的准确性之间存在权衡。此外,这些系统容易受到隐私泄漏的影响,即,给出安全草图及其相关的加密密钥,恢复原始生物识别模板是微不足道的。在这项工作中,我们提出了一种新的键绑定生物识别密码系统框架,称为可消化的生物识别器Vault(CBV),以解决上述两个限制。 CBV框架受到Chaffing和Winnowing的加密原则的启发。它利用可消化生物识别(CB)的概念来生成安全的生物识别模板,又用于编码加密密钥中的位。虽然CBV框架是通用的,但不依赖于特定的生物识别表示,它确实假设给定表示的合适(满足精度保存,不可逆性和不可粘连性)CB方案的可用性。为了证明所提出的CBV框架的有用性,我们使用扩展的生物统计方案来实现这种方法,这是适合于诸如IRIS码的比特串的CB方案。与基线生物统计学方案不同,本工作中提出的扩展版本满足CB构建体的所有三种要求。实验表明,所提出的CBV框架的解码精度与底层CB构建体的识别精度相当,即延长的生物态编码方案,无论密码键尺寸如何。

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