Cited by 267Chaos-based Image/Signal EncryptionComputer Science and EngineeringMathematical Dynamics and Fractals

A novel image encryption algorithm based on a 3D chaotic map

Kanso, A., Ghebleh, M.·2012·Communications in Nonlinear Science and Numerical Simulation

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Crossref · 10.1016/j.cnsns.2011.11.030

Cites

4 of 4 references verified0 citation errors · 0 not checkable

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  • Kanso and Ghebleh's mixing and masking rules make the relationship between the plain image and the encrypted image more diffusing and confusing.

    “These rules make the relationship between the plain image and the encrypted image more diffusing and confusing.”
  • Kanso and Ghebleh's three-dimensional Arnold Cat map color image-encryption algorithm is valid for color images of any size.

    “The algorithm can be valid for color images of any size.”

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Authors
Kanso, A., & Ghebleh, M.
Affiliations
Kuwait University (KW)
Corresponding author
Kanso, A.
Venue
Communications in Nonlinear Science and Numerical Simulation
Publisher
Elsevier BV
Published
2012-07
Volume
17
Issue
7
Pages
2943-2959
ISSN
1007-5704 (ISSN-L)
OpenAlex
W2057835419
Cited by
267
References
4
Citations by year
2026: 6 · 2025: 5 · 2024: 16 · 2023: 12 · 2022: 10 · 2021: 27 · 2020: 22 · 2019: 22 · 2018: 18 · 2017: 20 · 2016: 30 · 2015: 31 · 2014: 27 · 2013: 16 · 2012: 5
FWCI
16.54
Type
journal article
Language
en
Open access
closed
Locations
Communications in Nonlinear Science and Numerical Simulation (publishedVersion)
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 › Mathematics › Mathematical Physics › Mathematical Dynamics and Fractals
Keywords
image encryption, 3D chaotic map, chaotic maps, cryptanalysis, pixel scrambling, confusion and diffusion, symmetric encryption, key space, encryption speed

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