2026-06-08T03:25:48Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/724982024-11-12T16:48:52Zcom_20.500.14352_14col_20.500.14352_15
Critical Analysis of Hypothesis Tests in Federal Information Processing Standard (140-2)
Almaraz Luengo, Elena Salome
Leiva Cerna, Marcos Brian
García Villalba, Luis Javier
Hernández Castro, Julio
Hurley Smith, Darren
Correlation
Dieharder
ENT
FIPS 140-2
Independence
Mutual information
NIST SP 800-22
p-value
Randomness
Statistic
TestU01
Matemáticas (Matemáticas)
12 Matemáticas
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).
Universidad Complutense de Madrid - Proyecto THEIA
Engineering & Physical Sciences Research Council (Reino Unido) - Proyecto Quantum Communications Hub
InnovateUK
Depto. de Estadística e Investigación Operativa
Depto. de Ingeniería de Software e Inteligencia Artificial (ISIA)
Fac. de Ciencias Matemáticas
Fac. de Informática
TRUE
pub
2023-06-22T12:26:58Z
2023-06-22T12:26:58Z
2022-04-27
journal article
https://hdl.handle.net/20.500.14352/72498
1099-4300
10.3390/e24050613
eng
THEIA (FEI-EU-19-04), THEIA I (FEI-EU-21-01) and THEIA II (FEI-22-01)
Hub Project (EP/T001011/1).
106374-49229
Almaraz Luengo, E. S., Leiva Cerna, M. B., García Villalba, L. J. et al. «Critical Analysis of Hypothesis Tests in Federal Information Processing Standard (140-2)». Entropy, vol. 24, n.o 5, abril de 2022, p. 613. DOI.org (Crossref), https://doi.org/10.3390/e24050613.
Atribución 3.0 España
https://creativecommons.org/licenses/by/3.0/es/
open access
application/pdf
MPDI