Stochastic Model of a Metastability-Based True Random Number Generator
Stochastic Model of a Metastability-Based True Random Number Generator
复制标题
基于亚稳态的真随机数生成器的随机模型
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
J. Danger
中科院分区：
文献类型：
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作者：
M. Ben;T. Graba;J. Danger
真随机数发生器（TRNG）的设计者应该提供一个随机模型的评估目标，以符合AIS-31标准的评估过程。在本文中，我们提出了一个模型的TRNG提取其随机性的亚稳态行为的D-锁存器。需要为TRNG评估过程建立这样一个模型。在这项工作中，我们描述和分析的随机性来自一个链的D-锁当设置在其亚稳态附近。然后，我们提出了一个基于亚稳态的TRNG的物理模型。本文的主要新奇是基于亚稳态的TRNG的随机建模过程。该模型在FPGA和65 nm CMOS工艺原型芯片上进行了验证。
True random number generator (TRNG) designers should provide a stochastic model of the target of evaluation to be compliant with the AIS-31 standard evaluation process. In this paper, we present a model of a TRNG that extracts its randomness from the metastable behavior of a D-Latch. Such a model needs to be set up for the TRNG evaluation process. In this work, we describe and analyse the randomness coming from a chain of D-Latches when set near their metastable state. Then, we present a physical model of a metastability-based TRNG. The main novelty of this paper is the stochastic modeling process of a metastability-based TRNG. The presented model is validated on FPGA and a 65nm CMOS technology prototype chip.