2026-06-08T13:40:10Zhttps://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
Docta Complutense
author
Almaraz Luengo, Elena Salome
author
Leiva Cerna, Marcos Brian
author
García Villalba, Luis Javier
author
Hernández Castro, Julio
author
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
Atribución 3.0 España
Critical Analysis of Hypothesis Tests in Federal Information Processing Standard (140-2)
journal article
URL
https://docta.ucm.es/bitstreams/d5607b9d-aaf4-4cb5-83ac-390f474a3168/download
File
MD5
fe3de91b1241116ac2702b6f932ab9c6
1071452
application/pdf
entropy-24-00613-v3.pdf