2026-06-08T02:25:05Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/724982024-11-12T16:48:52Zcom_20.500.14352_14col_20.500.14352_15

Almaraz Luengo, Elena Salome Leiva Cerna, Marcos Brian García Villalba, Luis Javier Hernández Castro, Julio Hurley Smith, Darren 2023-06-22T12:26:58Z 2023-06-22T12:26:58Z 2022-04-27 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 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). eng https://creativecommons.org/licenses/by/3.0/es/ open access Atribución 3.0 España Critical Analysis of Hypothesis Tests in Federal Information Processing Standard (140-2) journal article