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Jitter Estimation with High Accuracy for Oscillator-Based TRNGs

机译:基于振荡器的TRNG的高精度抖动估计

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Ring oscillator-based true random number generators (RO-based TRNGs) are widely used to provide unpredictable random numbers for cryptographic systems. The unpredictability of the output numbers, which can be measured by entropy, is extracted from the jitter of the oscillatory signal. To quantitatively evaluate the entropy, several stochastic models have been proposed, all of which take the jitter as a key input parameter. So it is crucial to accurately estimate the jitter in the process of entropy evaluation. However, several previous methods have estimated the jitter with non-negligible error, which would cause the overestimation of the entropy. In this paper, we propose a jitter estimation method with high accuracy. Our method aims at eliminating the quantization error in previous counter-based jitter estimation methods and finally can estimate the jitter with the error smaller than 1%. Furthermore, for the first time, we give a theoretical error bound for our jitter estimation. The error bound confirms the 1% error level of our method. As a consequence, our method will significantly help to evaluate the entropy of RO-based TRNGs accurately. Finally, we present the application of our jitter estimation method on a practical FPGA device and provide a circuit module diagram for on-chip implementation.
机译:基于环形振荡器的真随机数发生器(基于RO的TRNG)被广泛用于为密码系统提供不可预测的随机数。从振荡信号的抖动中提取出可以通过熵测量的输出数的不可预测性。为了定量评估熵,已经提出了几种随机模型,所有这些模型都将抖动作为关键输入参数。因此,在熵评估过程中准确估计抖动至关重要。然而,先前的几种方法已经估计了具有不可忽略的误差的抖动,这将导致熵的高估。在本文中,我们提出了一种高精度的抖动估计方法。我们的方法旨在消除以前基于计数器的抖动估计方法中的量化误差,最终可以估计误差小于1%的抖动。此外,我们第一次给出了抖动估计的理论误差范围。误差范围确定了我们方法的1%误差水平。因此,我们的方法将大大有助于准确评估基于RO的TRNG的熵。最后,我们介绍了抖动估计方法在实际FPGA器件上的应用,并提供了用于片上实现的电路模块图。

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