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Fuzzy Key Extraction from Fingerprint Biometrics based on Dynamic Quantization Mechanism

机译:基于动态量化机制的指纹生物特征模糊密钥提取

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Traditional biometrics recognition system is vulnerable to privacy invasion when the stored biometric template is compromised. This in turn will suffer from permanently loss as biometric template is not replaceable In this paper, we propose a key extraction scheme which locks a secure transformed fingerprint bitstring via a novel dynamic quantization mechanism. During authentication stage, the key is extracted from the secure mixture when a genuine fingerprint is presented. A number of keys can be assigned to different applications and could be revoked if the key was compromised. The proposed method retrieve key reliably from a genuine fingerprint up to 99.5% success rate. We perform several security and experimental analyses and the results suggest that the scheme is feasible in practice.
机译:当存储的生物特征模板遭到破坏时,传统的生物特征识别系统很容易受到隐私的入侵。由于无法替换生物识别模板,因此这将遭受永久性丢失。在本文中,我们提出了一种密钥提取方案,该方案通过一种新颖的动态量化机制来锁定安全的已转换指纹比特串。在身份验证阶段,当提供真实指纹时,将从安全混合物中提取密钥。可以将多个密钥分配给不同的应用程序,如果密钥被泄露,则可以将其撤销。所提出的方法从真实指纹中可靠地检索密钥,成功率高达99.5%。我们进行了几次安全性和实验分析,结果表明该方案在实践中是可行的。

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