Design of efficient CMOS ring oscillator-based random number generator

Güler, Ülkühan; Pusane, Alí Emre; Dündar, Günhan

doi:10.1080/00207217.2017.1312704

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…[14,15] The PRNGs based on oscillations extract random numbers by sampling phase jitter from an oscillator. [16,17] The PRNGs based on chaos obtains random numbers from physical chaotic systems, in which noise is amplified rapidly by chaos. [18,19] Chaotic PRNGs have become standard in the field because of their sensitivity to noise, broadband features, and large amplitude.…”

Section: Introductionmentioning

confidence: 99%

Physical generation of random numbers using an asymmetrical Boolean network*

Liu¹,

Wang²,

Sang³

et al. 2021

Chinese Phys. B

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Autonomous Boolean networks (ABNs) have been successfully applied to the generation of random number due to their complex nonlinear dynamics and convenient on-chip integration. Most of the ABNs used for random number generators show a symmetric topology, despite their oscillations dependent on the inconsistency of time delays along links. To address this issue, we suggest an asymmetrical autonomous Boolean network (aABN) and show numerically that it provides large amplitude oscillations by using equal time delays along links and the same logical gates. Experimental results show that the chaotic features of aABN are comparable to those of symmetric ABNs despite their being made of fewer nodes. Finally, we put forward a random number generator based on aABN and show that it generates the random numbers passing the NIST test suite at 100 Mbits/s. The unpredictability of the random numbers is analyzed by restarting the random number generator repeatedly. The aABN may replace symmetrical ABNs in many applications using fewer nodes and, in turn, reducing power consumption.

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Section: Introductionmentioning

confidence: 99%

Physical generation of random numbers using an asymmetrical Boolean network*

Liu¹,

Wang²,

Sang³

et al. 2021

Chinese Phys. B

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“…La clave de esta prueba es la función random. Si el robot dispone de un verdadero generador de números aleatorios [147,199], la población mostrará obligatoriamente exocomportamientos que cumplen los criterios para identificar fasa aleatoria. Si los robots solo disponen de un generador de números pseudoaleatorios el hecho importante es que la semilla de cada generador de números aleatorios sea diferente y los exocomportamientos cumplirán también los criterios para identificar fasa aleatoria.…”

Section: Identificación Experimental De Tipos De Fasa Fundamentalunclassified

Principios matemáticos del comportamiento natural

Miguel-Tomé¹

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This doctoral thesis is centered around the search for a scientific theory that identifies biological and nonbiological autonomous behaviors. It also addresses the development of algorithms that allow for the creation of multifunctional robots. The work is focused on solving two problems. The first is to identify a physicalist theory capable of explaining how behaviors are produced. The second is to develop qualitative computational methods that contribute to the development of multifunctional robots. This second issue stems from human beings using and communicating with qualitative information in their everyday lives. Motivation, hypotheses, and goalsNewton's mechanics, cell theory, the kinetic theory of gases, Maxwell's equations, and general relativity are examples of unification theories. Each of these brought about not only a new view of nature but also the development of new technologies and research. Unification theories are so beneficial to science and engineering that the effort required to search for a unification theory for any field of science is fully justified. Currently, the phenomena of behaviors are divided into disjointed sets and described individually, and many questions remain about behaviors. This, along with the importance of unification theories, led to the motivation for the work conducted in this doctoral thesis. The research that was carried out was based on the hypothesis of the General Theory of Exobehavior (GTE), which is capable of unifying behaviors. However, this theory is based on two hypotheses: the hypothesis of unification of behaviors and the hypothesis of the physicalism of behaviors. These hypotheses are outlined as follows.Hypothesis of the unification of behaviors: All behaviors of biological and nonbiological systems are part of a single set of phenomena.

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Self-generated encryption model of acoustics

Etem

2020

Applied Acoustics

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Design of efficient CMOS ring oscillator-based random number generator

Cited by 4 publications

References 29 publications

Physical generation of random numbers using an asymmetrical Boolean network*

Physical generation of random numbers using an asymmetrical Boolean network*

Principios matemáticos del comportamiento natural

Self-generated encryption model of acoustics

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