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Analysis of Entropy Estimator of True Random Number Generation Using Beta Source

机译:使用Beta源的真实随机数生成的熵估计器分析

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In this paper, we analyze the characteristics of intrinsic random numbers based on beta source. SP 800-22 and SP800-90B of NIST in the United States are the standards used to evaluate the stability of intrinsic random numbers. Recently, SP 800-90B was revised to Second Draft, and it was detected and evaluated the characteristic which is the period of the minimum entropy estimation of non-IID track. The detected data was analyzed using SP800-22 standard of statistical analysis Respectively. The data of the beta source is obtained by using a beta source, amplifying the signal using an analog amplifier, converting it into a digital signal, and extracting random numbers from the Labview environment. The data was tested to see if it conforms to the standard in a Python environment. The test results show that it is a true random number based on beta source.
机译:在本文中,我们基于β源分析了固有随机数的特征。美国NIST的SP 800-22和SP800-90B是用于评估固有随机数稳定性的标准。最近,SP 800-90B被修订为第二稿,并且检测并评估了作为非IID磁道的最小熵估计周期的特性。分别使用SP800-22统计分析标准对检测到的数据进行分析。通过使用beta源,使用模拟放大器放大信号,将其转换为数字信号并从Labview环境中提取随机数,可以获得beta源的数据。测试数据以查看其是否符合Python环境中的标准。测试结果表明,它是基于beta来源的真实随机数。

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