延迟- puf可靠性的全貌

Alexander Schaub, J. Danger, O. Rioul, S. Guilley
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引用次数: 3

摘要

物理不可克隆函数(puf)允许为设备识别、身份验证或密钥管理等应用程序生成位串。对于实际部署,业界对可靠性有严格的要求。此外,由于PUF产生的随机性对整个应用链的安全性影响很大,因此它是不可妥协的。动态随机性和静态随机性的概念捕捉到了这两个需求,动态随机性是为了提高可靠性而最小化,静态随机性是为了提高安全性而最大化。在本文中,我们说明了整个方法的延迟puf称为环puf。为了满足上述对动态随机性和静态随机性的要求,需要对PUF的行为进行建模和验证;这些活动在国际标准ISO/IEC 20897中有描述。建模包括建立PUF的随机模型,预测动态噪声引起的误码率和静态噪声的熵。然后,基于代表性环境条件下的测量,对模型进行验证,并估计其参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Big Picture of Delay-PUF Dependability
Physically Unclonable Functions (PUFs) allow to generate bitstrings for applications such as device identification, authentication, or key management. For real-world deployment, the industry has stringent requirements on reliability. In addition, as it greatly impacts the security of the whole application chain, the randomness produced by the PUF cannot be compromised. These two requirements are captured by the notions of dynamic randomness—to be minimized in order to improve reliability— and static randomness—to be maximized to increase security.In this paper, we illustrate the whole methodology on a delay-PUF called the loop-PUF. To meet the above requirements on dynamic and static randomness, the PUF’s behavior should be modeled and validated; such activities are described in the international standard ISO/IEC 20897. Modeling consists in establishing a stochastic model of the PUF, to predict bit error rates due to dynamic noise, and entropies of the static noise. The model is then verified, its parameters estimated, based on measures in representative environmental conditions.
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