Cited by 182Physical Unclonable Functions (PUFs) and Hardware SecurityCellular Automata and ApplicationsCoding theory and cryptography

High-Speed True Random Number Generation with Logic Gates Only

Open access
Dichtl, Markus, Golić, Jovan Dj.·2007·Lecture Notes in Computer Science

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Crossref · 10.1007/978-3-540-74735-2_4

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  • FIRO and GARO are more sensitive to jitter than other oscillators, so jitter is quickly propagated and transformed through feedback, making them more suitable entropy sources.

    “Compared to other oscillators, the number of inverters using FIRO and GARO is reduced and FIRO and GARO are more sensitive to jitter [24], [25].Thus, jitter is quickly propagated and transformed through feedback.Thus, FIRO and GARO are more suitable entropy source.”

    From True Random Number Generators Using Electrical Noise (2019) · cites this paper as [25]

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Authors
Dichtl, M., & Golić, J. D.
Affiliations
Siemens (Germany) (DE)
Venue
Lecture Notes in Computer Science
Published
2007-08-22
Pages
45-62
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W1588877666
Cited by
182
References
0
Citations by year
2026: 2 · 2025: 4 · 2024: 3 · 2023: 7 · 2022: 3 · 2021: 8 · 2020: 15 · 2019: 18 · 2018: 13 · 2017: 6 · 2016: 10 · 2015: 10 · 2014: 18 · 2013: 10 · 2012: 8
FWCI
8.58
Type
conference paper
Language
en
Open access
Locations
Lecture notes in computer science (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Hardware and Architecture › Physical Unclonable Functions (PUFs) and Hardware Security
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Cellular Automata and Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › Coding theory and cryptography
Keywords
true random number generation, ring oscillator, logic gates, entropy rate, restart method, sampling methods, hardware randomness

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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