观察基于ro的TRNG中的随机性

Nathalie Bochard, F. Bernard, V. Fischer
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引用次数: 36

摘要

本文使用Sunar等人在2007年提出的一组环振子处理真随机数生成器。Wold和Tan最近在每个环的输出端引入了触发器,对原来的发电机进行了改进。我们在论文的第一部分中表明,当由理想组件组成时,原始架构和增强架构具有完全相同的行为(它们具有相同的数学模型),但正如Wold和Tan所观察到的那样,它们在物理设备中具有非常不同的行为。然而,虽然Sunar等人提议减少环的数量,但他们的安全证明不再成立。为了证明这一点,我们将证明在生成的随机原始信号中,伪随机性与真随机性的比例比预期的要大得多。我们的仿真模型表明,使用超过18个频率略有不同的理想无抖动环并且只产生伪随机性的发生器将始终使测试通过。我们得出的结论是,减少环的数量不仅使Sunar等人的安全证明不成立,而且使生成器更容易受到攻击,因为伪随机性很容易被操纵。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Observing the Randomness in RO-Based TRNG
The paper deals with true random number generators using a set of ring oscillators as proposed by Sunar et al. in 2007. The original generator has been recently enhanced by Wold and Tan by introducing flip-flops at the output of each ring. We show in the first part of the paper that both original and enhanced architectures have exactly the same behavior when composed of ideal components (they have the same mathematical model), but they have very different behavior in physical devices, as observed by Wold and Tan. However, while reducing the number of rings as they have proposed, the security proof of Sunar et al. does not hold any more. In order to demonstrate that, we will show that the proportion of the pseudo-randomness compared to the true-randomness in the generated random raw signal is much bigger than expected. Our simulation model shows that the generator using more than 18 ideal jitter-free rings having slightly different frequencies and producing thus only pseudo-randomness, will always let the tests pass. We conclude that reducing the number of rings not only makes the security proof of Sunar et al. not hold, but it makes the generator more vulnerable, since the pseudo-randomness is easy to manipulate.
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