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Enhancing the Randomness of a Combined True Random Number Generator Based on the Ring Oscillator Sampling Method

机译:基于环形振荡器采样方法增强组合真随机数发生器的随机性

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An efficient method for generating number sequences that pass all statistical tests is combining numbers produced by many independent generators. Excellent statistical properties are very important in many applications but they are not sufficient in cryptography. We need the unpredictability of numbers that ensures the irreproducibility of sequences by an attacker. This paper proposes a new method for enhancing the randomness of a combined true random number generator (TRNG) using jitter observed in ring oscillators (ROs). To enhance the quality of output streams, we use an auxiliary source of randomness (ASR) that perturbs signals produced by ROs. The increase of entropy is obtained by combining XOR bits produced by many biased RO-based TRNGs. It increases the degree of unpredictability but requires a measure of the quality of this process, which is different from statistical testing of time sequences. To assess the unpredictability of output bits, we used the restarts mechanism proposed in earlier papers.
机译:生成通过所有统计检验的数字序列的有效方法是组合由许多独立生成器生成的数字。出色的统计特性在许多应用中非常重要,但在密码学中还远远不够。我们需要数字的不可预测性,以确保攻击者无法再现序列。本文提出了一种新的方法,可以利用在环形振荡器(RO)中观察到的抖动来增强组合的真实随机数发生器(TRNG)的随机性。为了提高输出流的质量,我们使用辅助随机源(ASR)扰动RO产生的信号。熵的增加是通过组合许多基于RO的有偏TRNG产生的XOR位而获得的。它增加了不可预测性的程度,但需要度量此过程的质量,这与时间序列的统计测试不同。为了评估输出位的不可预测性,我们使用了早期论文中提出的重启机制。

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