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Combining Crypto with Biometrics: A New Human-Security Interface (Transcript of Discussion)

机译:将加密技术与生物识别技术相结合:新的人类安全界面(讨论记录)

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I present my research on combining cryptography and iris biometrics. This is work with Ross Anderson and John Daugman. It is a short talk so I will leave out the technical detail. The motivation of the research is to incorporate advanced biometric authentication features into cryptography. We find that cryptography lacks the involvement of a human factor. In authentication, you would use a password or a token, but there is no real human factor involved. We studied the iris biometric because it is one of the most reliable biometrics discovered so far. There are however certain issues with the iris biometric. First, it is fuzzy. Second, its storage is quite controversial for privacy reasons. And third, it cannot be kept secret by its very nature. These limitations apply to biometrics in general. In Unix, you don't store the password in plain text. Instead, you apply a oneway hash function. But you cannot do the same with iris codes because they are fuzzy. If you hash an iris code, it would destroy all the information content. So in our research, we devised a method to map the 2048-bit fuzzy iris code into an exact 140-bit string. This mapping is repeatable with a 99.5% success rate.
机译:我介绍了将密码学和虹膜生物特征识别相结合的研究。这是罗斯·安德森(Ross Anderson)和约翰·道格曼(John Daugman)的作品。这只是一个简短的演讲,所以我将省略技术细节。这项研究的动机是将先进的生物特征认证功能整合到密码学中。我们发现密码术缺乏人为因素的参与。在身份验证中,您将使用密码或令牌,但是不涉及真正的人为因素。我们研究了虹膜生物特征,因为它是迄今为止发现的最可靠的生物特征之一。但是,虹膜生物特征识别存在某些问题。首先,它是模糊的。其次,出于隐私原因,其存储颇有争议。第三,就其本质而言,不能将其保密。这些限制通常适用于生物识别。在Unix中,您不以纯文本形式存储密码。而是,您应用单向哈希函数。但是您无法对虹膜代码执行相同的操作,因为它们很模糊。如果对虹膜代码进行哈希处理,则会破坏所有信息内容。因此,在我们的研究中,我们设计了一种将2048位模糊虹膜代码映射为精确的140位字符串的方法。此映射是可重复的,成功率为99.5%。

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