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Cited by 94Chaos-based Image/Signal EncryptionComputer Science and EngineeringChaos control and synchronization

Image encryption using finite-precision error

Nardo, Lucas G., Nepomuceno, Erivelton G., Arias-Garcia, Janier, Butusov, Denis N.·2019·Chaos, Solitons & Fractals
DOI 10.1016/j.chaos.2019.03.026
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  • Nardo and G's scheme takes finite accuracy error as the source of randomness and solves the problem of finite-accuracy-induced degradation in image encryption.

    “Lucas G. Nardoa and Erivelton G [52] took finite accuracy error as the source of randomness and proposed a new image-encryption scheme to solve this problem.”

    From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [52]

    The Conclusion (p. 9) confirms that the authors proposed an image-encryption scheme exploiting finite-precision computer error as a source of randomness. It explicitly says they did so instead of attempting to mitigate finite-precision degradation, so the claim that the scheme solves that degradation problem overstates the paper. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

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Cited by

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Authors
Nardo, L. G., Nepomuceno, E. G., Arias-Garcia, J., & Butusov, D. N.
Affiliations
Federal University of São João del-Rei (BR)
Corresponding author
Nepomuceno, Erivelton G.
ORCID
Venue
Chaos, Solitons & Fractals
Publisher
Elsevier BV
Published
2019-06
Volume
123
Pages
69-78
ISSN
0960-0779 (ISSN-L)
DOI
10.1016/j.chaos.2019.03.026
OpenAlex
W2930326836
Cited by
94
References
4
Citations by year
2026: 6 · 2025: 6 · 2024: 6 · 2023: 21 · 2022: 14 · 2021: 16 · 2020: 18 · 2019: 7
FWCI
6.16
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Chaos Solitons & Fractals (publishedVersion)
  • Maynooth University ePrints and eTheses Archive (Maynooth University) (acceptedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • CNPq (425509/2018-4)
  • INERGE
  • FAPEMIG (APQ-00870-17)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
  • Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
Keywords
image encryption, chaotic systems, pseudorandom number generation, interval extension, randomness, NIST randomness tests

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