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Security with Noisy Data (Extended Abstract of Invited Talk)

机译:嘈杂数据的安全性(特邀演讲的摘要)

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摘要

An overview was given of security applications where noisy data plays a substantial role. Secure Sketches and Fuzzy Extractors were discussed at tutorial level, and two simple Fuzzy Extractor constructions were shown. One of the latest developments was presented: quantum-readout PUFs. Biometrics and Physical Unclonable Functions. Noise plays an essential role in a number of security applications based on biometrics and Physical Unclonable Functions (PUFs). In biometric authentication, the best way to preserve user privacy would be to store a one-way hash of the biometric, just like the password hashes in a unix password file.
机译:概述了在噪声数据起着重要作用的安全应用程序中。在教程级别讨论了安全草图和模糊提取器,并显示了两个简单的模糊提取器构造。介绍了最新的发展之一:量子读出PUF。生物识别和不可克隆的物理功能。噪声在基于生物识别和物理不可克隆功能(PUF)的许多安全应用中起着至关重要的作用。在生物特征认证中,保护用户隐私的最佳方法是存储生物特征的单向哈希,就像unix密码文件中的密码哈希一样。

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