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Statistical Evaluation of a Superconductive Physical Random Number Generator
Author(s) -
Tatsuro Sugiura,
Yuki Yamanashi,
Nobuyuki Yoshikawa
Publication year - 2010
Publication title -
ieice transactions on electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.182
H-Index - 48
eISSN - 1745-1353
pISSN - 0916-8524
DOI - 10.1587/transele.e93.c.453
Subject(s) - random number generation , nist , randomness , computer science , generator (circuit theory) , convolution random number generator , train , statistical hypothesis testing , mathematics , random function , algorithm , random variable , statistics , physics , power (physics) , cartography , quantum mechanics , natural language processing , geography
A physical random number generator, which generates truly random number trains by using the randomness of physical phenomena, is widely used in the field of cryptographic applications. We have developed an ultra high-speed superconductive physical random number generator that can generate random numbers at a frequency of more than 10 GHz by utilizing the high-speed operation and high-sensitivity of superconductive integrated circuits. In this study, we have statistically evaluated the quality of the random number trains generated by the superconductive physical random number generator. The performances of the statistical tests were based on a test method provided by National Institute of Standards and Technology (NIST). These statistical tests comprised several fundamental tests that were performed to evaluate the random number trains for their utilization in practical cryptographic applications. We have generated 230 random number trains consisting of 20,000-bits by using the superconductive physical random number generator fabricated by the SRL 2.5 kA/cm 2 Nb standard process. The generated random number trains passed all the fundamental statistical tests. This result indicates that the superconductive random number generator can be sufficiently utilized in practical applications.

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