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SECURE BIOMETRICS

机译:安全生物计量

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摘要

In this paper, we extend the information theoretic secure constructions for biometrics to the computational setting. Based on semantically secure encryption, we introduce robust, fully private and secure biometric key distillation and verification. Our model incorporates an adversary with side information who has access to a database with reference information. Even though our schemes are based on a master key, no master key needs to be stored in biometric sensors. In our scheme it is possible to derive a polynomial number of keys from a single biometric and we show how to renew keys in a secure and private way without additional interaction with the user. Previous work considers unconditional secure key distillation which can at most reach partial (information theoretic) privacy and which can only lead to a small number of keys for each biometric.
机译:在本文中,我们将生物识别的信息理论安全构造扩展到计算环境。基于语义安全加密,我们引入了健壮,完全私有和安全的生物特征密钥蒸馏和验证。我们的模型包含一个具有辅助信息的对手,该对手可以访问具有参考信息的数据库。即使我们的方案基于主密钥,也无需将主密钥存储在生物识别传感器中。在我们的方案中,可以从单个生物特征数据中得出多项式密钥,并且我们展示了如何以安全且私密的方式更新密钥,而无需与用户进行额外交互。先前的工作考虑了无条件的安全密钥蒸馏,它最多可以达到部分(信息理论上的)隐私,并且每个生物特征只能导致少量的密钥。

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