Cited by 5Cryptographic Implementations and SecurityCoding theory and cryptographyChaos-based Image/Signal Encryption

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

Almaraz Luengo, Elena, Leiva Cerna, Marcos, García Villalba, Luis Javier, Hurley-Smith, Darren, Hernandez-Castro, Julio·2022·Journal of Information Security and Applications

Overview

Integrity signals

Registry

Crossref · 10.1016/j.jisa.2022.103322

Cites

29 of 29 references verified0 citation errors · 0 not checkable

Statistics

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Verification

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Citations

Cites

Show all 29 references

Research works printed but not linked: 1

  1. Mehta, 1983, A network algorithm for performing Fisher’s exact test in r × c contingency tables, J Amer Statist Assoc, 78, 427

Cited by

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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
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.

Statistics and arithmetic are recomputed, not judged.

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