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MRNG: Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator

Privacy and security require not only strong algorithms but also reliable and readily available sources of randomness. To tackle this problem, one of the causes of single-event upsets is the utilization of a non-deterministic entropy source, specifically ultra-high energy cosmic rays. An adapted pro...

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Autores principales: Kutschera, Stefan, Slany, Wolfgang, Ratschiller, Patrick, Gursch, Sarina, Dagenborg, Håvard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297075/
https://www.ncbi.nlm.nih.gov/pubmed/37372198
http://dx.doi.org/10.3390/e25060854
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author Kutschera, Stefan
Slany, Wolfgang
Ratschiller, Patrick
Gursch, Sarina
Dagenborg, Håvard
author_facet Kutschera, Stefan
Slany, Wolfgang
Ratschiller, Patrick
Gursch, Sarina
Dagenborg, Håvard
author_sort Kutschera, Stefan
collection PubMed
description Privacy and security require not only strong algorithms but also reliable and readily available sources of randomness. To tackle this problem, one of the causes of single-event upsets is the utilization of a non-deterministic entropy source, specifically ultra-high energy cosmic rays. An adapted prototype based on existing muon detection technology was used as the methodology during the experiment and tested for its statistical strength. Our results show that the random bit sequence extracted from the detections successfully passed established randomness tests. The detections correspond to cosmic rays recorded using a common smartphone during our experiment. Despite the limited sample, our work provides valuable insights into the use of ultra-high energy cosmic rays as an entropy source.
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spelling pubmed-102970752023-06-28 MRNG: Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator Kutschera, Stefan Slany, Wolfgang Ratschiller, Patrick Gursch, Sarina Dagenborg, Håvard Entropy (Basel) Article Privacy and security require not only strong algorithms but also reliable and readily available sources of randomness. To tackle this problem, one of the causes of single-event upsets is the utilization of a non-deterministic entropy source, specifically ultra-high energy cosmic rays. An adapted prototype based on existing muon detection technology was used as the methodology during the experiment and tested for its statistical strength. Our results show that the random bit sequence extracted from the detections successfully passed established randomness tests. The detections correspond to cosmic rays recorded using a common smartphone during our experiment. Despite the limited sample, our work provides valuable insights into the use of ultra-high energy cosmic rays as an entropy source. MDPI 2023-05-26 /pmc/articles/PMC10297075/ /pubmed/37372198 http://dx.doi.org/10.3390/e25060854 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kutschera, Stefan
Slany, Wolfgang
Ratschiller, Patrick
Gursch, Sarina
Dagenborg, Håvard
MRNG: Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator
title MRNG: Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator
title_full MRNG: Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator
title_fullStr MRNG: Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator
title_full_unstemmed MRNG: Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator
title_short MRNG: Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator
title_sort mrng: accessing cosmic radiation as an entropy source for a non-deterministic random number generator
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297075/
https://www.ncbi.nlm.nih.gov/pubmed/37372198
http://dx.doi.org/10.3390/e25060854
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