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oai: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 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). 2023-06-22T12:26:58Z 2023-06-22T12:26:58Z 2022-04-27 journal article 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. 1099-4300 10.3390/e24050613 https://hdl.handle.net/20.500.14352/72498 https://doi.org/10.3390/e24050613 https://www.mdpi.com/1099-4300/24/5/613/htm 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 https://creativecommons.org/licenses/by/3.0/es/ open access Atribución 3.0 España MPDI