On the Characterization of Jitter in Ring Oscillators using Allan variance for True Random Number Generator Applications

L. Benea, M. Carmona, Florian Pebay-Peyroula, R. Wacquez
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Abstract

The description of the physical noise source is of utmost importance for any TRNG certification. In the case of ring oscillators, Allan variance is a reliable and comprehensive tool which enables the distinction between the jitter coming from flicker noise (autocorrelated) and from thermal noise (random). In this paper, we realize measurements directly on the analog source of numerous TRNG structures: a ring oscillator. Our data, along with evidence from the literature, indicates the presence of a third noise source. The quantization noise has not been so far taken into consideration, but is unquestionably present in all TRNG reliant on jitter. Its importance is key to an accurate estimation of thermal noise contribution, which can be shadowed by it. Measurements presented in this paper show that insufficient sampling (i.e. higher quantization noise) can lead to an overestimation of jitter coming from thermal noise and therefore an overestimation of the calculated entropy. The latter is the only type of noise considered reliable in currently existing ring oscillator-based TRNG models. As a rule of thumb, three orders of magnitude between the sampling and the sampled signal are necessary in order to determine the thermal noise jitter correctly.
用Allan方差表征环振抖动在真随机数发生器中的应用
物理噪声源的描述对于任何TRNG认证都是至关重要的。在环形振荡器的情况下,Allan方差是一个可靠而全面的工具,它可以区分来自闪烁噪声(自相关)和热噪声(随机)的抖动。在本文中,我们直接实现了对许多TRNG结构的模拟源:环形振荡器的测量。我们的数据以及文献中的证据表明,存在第三种噪声源。到目前为止还没有考虑到量化噪声,但毫无疑问存在于所有依赖于抖动的TRNG中。它的重要性是准确估计热噪声贡献的关键,热噪声贡献可能被它所掩盖。本文给出的测量结果表明,采样不足(即较高的量化噪声)会导致对来自热噪声的抖动的高估,从而导致对计算熵的高估。后者是目前基于环形振荡器的TRNG模型中唯一被认为可靠的噪声类型。作为一个经验法则,采样和采样信号之间的三个数量级是必要的,以便正确地确定热噪声抖动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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