Critical Analysis of Hypothesis Tests in Federal Information Processing Standard (140-2)

This work presents an analysis of the existing dependencies between the tests of the FIPS 140-2 battery. Two main analytical approaches are utilized, the first being a study of correlations through the Pearson’s correlation coefficient that detects linear dependencies, and the second one being a nov...

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Detalles Bibliográficos
Autores principales: Almaraz Luengo, Elena, Cerna, Marcos Brian Leiva, Villalba, Luis Javier García, Hernandez-Castro, Julio, Hurley-Smith, Darren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141325/
https://www.ncbi.nlm.nih.gov/pubmed/35626498
http://dx.doi.org/10.3390/e24050613
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author Almaraz Luengo, Elena
Cerna, Marcos Brian Leiva
Villalba, Luis Javier García
Hernandez-Castro, Julio
Hurley-Smith, Darren
author_facet Almaraz Luengo, Elena
Cerna, Marcos Brian Leiva
Villalba, Luis Javier García
Hernandez-Castro, Julio
Hurley-Smith, Darren
author_sort Almaraz Luengo, Elena
collection PubMed
description This work presents an analysis of the existing dependencies between the tests of the FIPS 140-2 battery. Two main analytical approaches are utilized, the first being a study of correlations through the Pearson’s correlation coefficient that detects linear dependencies, and the second one being a novel application of the mutual information measure that allows detecting possible non-linear relationships. In order to carry out this study, the FIPS 140-2 battery is reimplemented to allow the user to obtain p-values and statistics that are essential for more rigorous end-user analysis of random number generators (RNG).
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spelling pubmed-91413252022-05-28 Critical Analysis of Hypothesis Tests in Federal Information Processing Standard (140-2) Almaraz Luengo, Elena Cerna, Marcos Brian Leiva Villalba, Luis Javier García Hernandez-Castro, Julio Hurley-Smith, Darren Entropy (Basel) Article This work presents an analysis of the existing dependencies between the tests of the FIPS 140-2 battery. Two main analytical approaches are utilized, the first being a study of correlations through the Pearson’s correlation coefficient that detects linear dependencies, and the second one being a novel application of the mutual information measure that allows detecting possible non-linear relationships. In order to carry out this study, the FIPS 140-2 battery is reimplemented to allow the user to obtain p-values and statistics that are essential for more rigorous end-user analysis of random number generators (RNG). MDPI 2022-04-27 /pmc/articles/PMC9141325/ /pubmed/35626498 http://dx.doi.org/10.3390/e24050613 Text en © 2022 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
Almaraz Luengo, Elena
Cerna, Marcos Brian Leiva
Villalba, Luis Javier García
Hernandez-Castro, Julio
Hurley-Smith, Darren
Critical Analysis of Hypothesis Tests in Federal Information Processing Standard (140-2)
title Critical Analysis of Hypothesis Tests in Federal Information Processing Standard (140-2)
title_full Critical Analysis of Hypothesis Tests in Federal Information Processing Standard (140-2)
title_fullStr Critical Analysis of Hypothesis Tests in Federal Information Processing Standard (140-2)
title_full_unstemmed Critical Analysis of Hypothesis Tests in Federal Information Processing Standard (140-2)
title_short Critical Analysis of Hypothesis Tests in Federal Information Processing Standard (140-2)
title_sort critical analysis of hypothesis tests in federal information processing standard (140-2)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141325/
https://www.ncbi.nlm.nih.gov/pubmed/35626498
http://dx.doi.org/10.3390/e24050613
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