Almaraz Luengo, Elena SalomeLeiva Cerna, Marcos BrianGarcía Villalba, Luis JavierHernández Castro, JulioHurley Smith, Darren2023-06-222023-06-222022-04-27Almaraz 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/e24050613.1099-430010.3390/e24050613https://hdl.handle.net/20.500.14352/72498This 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).engAtribución 3.0 Españahttps://creativecommons.org/licenses/by/3.0/es/journal articlehttps://doi.org/10.3390/e24050613https://www.mdpi.com/1099-4300/24/5/613/htmopen accessCorrelationDieharderENTFIPS 140-2IndependenceMutual informationNIST SP 800-22p-valueRandomnessStatisticTestU01Matemáticas (Matemáticas)12 Matemáticas