The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Sensitivity and uniformity in statistical randomness tests
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“Several studies have examined the NIST test to evaluate its quality and assess statistical errors, for example, the reader can refer to22–24.”
Citations
Cites
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Research works printed but not linked: 1
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Cited by
Sorted by citations
Salehi, R., Malik, A. W., Novotny, M. A., & Khan, S. U. (2026) · Scientific Reports · doi:10.1038/s41598-026-51033-9 · Cited by 1
“Several studies have examined the NIST test to evaluate its quality and assess statistical errors, for example, the reader can refer to 22–24 .”
Metadata
- Authors
- Almaraz Luengo, E., Leiva Cerna, M., García Villalba, L. J., Hurley-Smith, D., & Hernandez-Castro, J.
- Affiliations
- Royal Holloway University of London (GB)
- University of Kent (GB)
- Venue
- Journal of Information Security and Applications
- Publisher
- Elsevier BV
- Published
- 2022-11
- Volume
- 70
- Pages
- 103322
- ISSN
- 2214-2126 (ISSN-L)
- OpenAlex
- W4295364736
- Cited by
- 5
- References
- 29
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 1
- FWCI
- 0.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Information Security and Applications (publishedVersion)
- Funders
- Horizon 2020 Framework Programme
- Engineering and Physical Sciences Research Council (EP/T001011/1)
- Horizon 2020 (101021801)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptographic Implementations and Security
- Physical Sciences › Mathematics › Discrete Mathematics and Combinatorics › Coding theory and cryptography
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Keywords
- randomness testing, sensitivity measures, uniformity testing, FIPS 140-2, NIST SP 800-22, TestU01, ENT, independence testing, cryptographic randomness
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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