Article

A Very High Speed True Random Number Generator with Entropy Assessment

Authors:

Abdelkarim Cherkaoui,

Viktor Fischer,

Laurent Fesquet,

Alain AubertAuthors Info & Claims

Cryptographic Hardware and Embedded Systems - CHES 2013: 15th International Workshop, Santa Barbara, CA, USA, August 20-23, 2013. Proceedings

Pages 179 - 196

https://doi.org/10.1007/978-3-642-40349-1_11

Published: 19 August 2013 Publication History

Abstract

The proposed true random number generator (TRNG) exploits the jitter of events propagating in a self-timed ring (STR) to generate random bit sequences at a very high bit rate. It takes advantage of a special feature of STRs that allows the time elapsed between successive events to be set as short as needed, even in the order of picoseconds. If the time interval between the events is set in concordance with the clock jitter magnitude, a simple entropy extraction scheme can be applied to generate random numbers. The proposed STR-based TRNG (STRNG) follows AIS31 recommendations: by using the proposed stochastic model, designers can compute a lower entropy bound as a function of the STR characteristics (number of stages, oscillation period and jitter magnitude). Using the resulting entropy assessment, they can then set the compression rate in the arithmetic post-processing block to reach the required security level determined by the entropy per output bit. Implementation of the generator in two FPGA families confirmed its feasibility in digital technologies and also confirmed it can provide high quality random bit sequences that pass the statistical tests required by AIS31 at rates as high as 200 Mbit/s.

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Cited By

Chen YLiang HZhang LYao LLu Y(2024)High throughput dynamic dual entropy source true random number generator based on FPGAMicroelectronics Journal10.1016/j.mejo.2024.106113145:COnline publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1016/j.mejo.2024.106113
Zhang YZhang J(2023)A High Throughput STR-based TRNG by Jitter Precise Quantization SuperposingACM Transactions on Design Automation of Electronic Systems10.1145/360637329:1(1-19)Online publication date: 29-Jun-2023
https://dl.acm.org/doi/10.1145/3606373
Skubich CReichel PReichenbach M(2023)Increasing the Robustness of TERO-TRNGs Against Process VariationACM Transactions on Reconfigurable Technology and Systems10.1145/359741816:3(1-29)Online publication date: 27-Jul-2023
https://dl.acm.org/doi/10.1145/3597418
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Index Terms

A Very High Speed True Random Number Generator with Entropy Assessment
1. Hardware
2. Mathematics of computing
  1. Probability and statistics
    1. Probabilistic reasoning algorithms
      1. Random number generation

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Guide Proceedings

Cryptographic Hardware and Embedded Systems - CHES 2013: 15th International Workshop, Santa Barbara, CA, USA, August 20-23, 2013. Proceedings

Aug 2013

488 pages

ISBN:978-3-642-40348-4

DOI:10.1007/978-3-642-40349-1

Editors:
Guido Bertoni
STMicroelectronics, Agrate Brianza, Belgium
,
Jean-Sébastien Coron
University of Luxembourg, 6, rue Richard Coudenhove-Kalergi, 1359, Luxembourg, Luxemburg

© International Association for Cryptologic Research 2013.

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 19 August 2013

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Cited By

Chen YLiang HZhang LYao LLu Y(2024)High throughput dynamic dual entropy source true random number generator based on FPGAMicroelectronics Journal10.1016/j.mejo.2024.106113145:COnline publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1016/j.mejo.2024.106113
Zhang YZhang J(2023)A High Throughput STR-based TRNG by Jitter Precise Quantization SuperposingACM Transactions on Design Automation of Electronic Systems10.1145/360637329:1(1-19)Online publication date: 29-Jun-2023
https://dl.acm.org/doi/10.1145/3606373
Skubich CReichel PReichenbach M(2023)Increasing the Robustness of TERO-TRNGs Against Process VariationACM Transactions on Reconfigurable Technology and Systems10.1145/359741816:3(1-29)Online publication date: 27-Jul-2023
https://dl.acm.org/doi/10.1145/3597418
Xu LWu HXie JLiu JYuan QXu SChen XLuo SFeng H(2022)Chaotic analysis and entropy estimation of the entropy source based on semiconductor superlattice chaosMicroelectronics Journal10.1016/j.mejo.2022.105556129:COnline publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1016/j.mejo.2022.105556
Peetermans ARožić VVerbauwhede I(2021)Design and Analysis of Configurable Ring Oscillators for True Random Number Generation Based on Coherent SamplingACM Transactions on Reconfigurable Technology and Systems10.1145/343316614:2(1-20)Online publication date: 5-Jun-2021
https://dl.acm.org/doi/10.1145/3433166
Olgun APatel MYağlikçi ALuo HKim JBostanci FVijaykumar NErgin OMutlu OMartínez JDuato JJohn L(2021)QUAC-TRNGProceedings of the 48th Annual International Symposium on Computer Architecture10.1109/ISCA52012.2021.00078(944-957)Online publication date: 14-Jun-2021
https://dl.acm.org/doi/10.1109/ISCA52012.2021.00078
Faix MMazer ELaurent RAbdallah MLe Hy RLobo J(2017)Cognitive ComputationInternational Journal of Software Science and Computational Intelligence10.4018/IJSSCI.20170701039:3(37-58)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.4018/IJSSCI.2017070103
Kiningham KHorowitz MLevis PBoneh DRömer KLangendoen KVoigt T(2016)CESEL: Securing a Mote for 20 YearsProceedings of the 2016 International Conference on Embedded Wireless Systems and Networks10.5555/2893711.2893788(307-312)Online publication date: 15-Feb-2016
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Raitza MVogt MHochberger CPionteck T(2015)RAW 2014ACM Transactions on Reconfigurable Technology and Systems10.1145/28076999:2(1-21)Online publication date: 4-Dec-2015
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Rozic VYang BDehaene WVerbauwhede I(2015)Highly efficient entropy extraction for true random number generators on FPGAsProceedings of the 52nd Annual Design Automation Conference10.1145/2744769.2744852(1-6)Online publication date: 7-Jun-2015
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