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Title:
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ON ONE MODELING APPROACH FOR TRUE RANDOM NUMBER GENERATOR |
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Author(s):
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Andrey Nikolaev , Pravas Pradhan |
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ISBN:
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978-972-8924-62-1 |
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Editors:
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Hans Weghorn and Ajith P. Abraham |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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True Random Number Generator, Johnson noise, Hajimitri noise, Ornstein-Uhlenbeck process, entropy, disorder problem |
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Type:
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Short Paper |
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First Page:
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199 |
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Last Page:
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204 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This paper presents an extensive mathematical model analyzing the architecture of the True Random Number Generator
(TRNG) designed at Intel Corporation. Designed stochastic model captures linear and non-linear aspects of analog
circuits. This study extensively uses Monte Carlo simulations to provide additional details about properties of TRNG.
The approach chosen for the modeling provides opportunities for development of on-line tests for detection of abrupt
changes in subcomponents of the generator. Presented mathematical model forms the basis for correlating statistical to
electrical properties of the generator and thereby contributes to improvement of the quality of the hardware generator. |
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