Critical Analysis of Hypothesis Tests in Federal Information Processing Standard (140-2)
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2022
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MPDI
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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.
Abstract
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).