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Conference Paper Analysis of Entropy Estimator of True Random Number Generation Using Beta Source
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Authors
Seongmo Park, B.G. Choi, T.W. Kang, K.W. Park, J.J. Lee, S.W. Kang, J.B. Kim
Issue Date
2019-06
Citation
International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) 2019, pp.78-80
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ITC-CSCC.2019.8793405
Abstract
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.
KSP Keywords
Analog Amplifier, Beta source, Digital Signal, LabVIEW environment, Minimum entropy, SP800-90B, Statistical Analysis, United States, entropy estimation, true random number generation