An efficient chaotic image encryption algorithm based on a generalized Arnold map
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Replacing traditional periodic position permutation with a total circular function reduces the correlation between adjacent pixels in the permutation stage.
“They utilized a total circular function to take the place of the traditional periodic position permutation to reduce the correlation between adjacent pixels in the permutation stage.”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [47]
Cited by
Sorted by citations
Chaos-Based Image Encryption: Review, Application, and Challenges
Zhang, B., & Liu, L. (2023) · Mathematics · doi:10.3390/math11112585 · Cited by 328 · see citing works
“Then, the , which has a large key space and is sensitive enough to initial conditions, confusion and Guodong Ye and Kwok-Wo Wong [47] proposed an image-encryption algorithm with a generalized Arnold Cat map.”
BackgroundImage encryption using a new parametric switching chaotic system
Zhou, Y., Bao, L., & Chen, C. L. P. (2013) · Signal Processing · doi:10.1016/j.sigpro.2013.04.021 · Cited by 265 · see citing works
Yu, S.-S., Zhou, N.-R., Gong, L.-H., & Nie, Z. (2020) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2019.105816 · Cited by 183 · see citing works
An Image Encryption Method Based on Elliptic Curve Elgamal Encryption and Chaotic Systems
Luo, Y., Ouyang, X., Liu, J., & Cao, L. (2019) · IEEE Access · doi:10.1109/access.2019.2906052 · Cited by 172 · see citing works
A new hyperchaotic map and its application in an image encryption scheme
Boriga, R., Dăscălescu, A. C., & Priescu, I. (2014) · Signal Processing: Image Communication · doi:10.1016/j.image.2014.04.001 · Cited by 101 · see citing works
Secure Image Transmission Using Chaotic-Enhanced Elliptic Curve Cryptography
Abdelfatah, R. I. (2020) · IEEE Access · doi:10.1109/access.2019.2958336 · Cited by 73 · see citing works
An efficient self-adaptive model for chaotic image encryption algorithm
Huang, X., & Ye, G. (2014) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2014.04.012 · Cited by 72 · see citing works
Self-citationA novel image encryption scheme based on Hénon map and compound spatiotemporal chaos
Zheng, Y., & Jin, J. (2015) · Multimedia Tools and Applications · doi:10.1007/s11042-014-2024-0 · Cited by 33 · see citing works
Barlybayev, A., Saukhanova, Z., Shakhmetova, G., Sharipbay, A., Raykul, S., & Khassenov, A. (2025) · Eastern-European Journal of Enterprise Technologies · doi:10.15587/1729-4061.2025.348368
- Authors
- Ye, G., & Wong, K.-W.
- Affiliations
- City University of Hong Kong (HK)
- Corresponding author
- Ye, Guodong
- ORCID
- Ye, Guodong
- Venue
- Nonlinear Dynamics
- Published
- 2012-04-20
- Volume
- 69
- Issue
- 4
- Pages
- 2079-2087
- ISSN
- 0924-090X (ISSN-L)
- 1573-269X
- OpenAlex
- W2022920978
- Cited by
- 195
- References
- 0
- Citations by year
- 2026: 5 · 2025: 1 · 2024: 12 · 2023: 16 · 2022: 17 · 2021: 17 · 2020: 26 · 2019: 17 · 2018: 13 · 2017: 10 · 2016: 12 · 2015: 18 · 2014: 20 · 2013: 7 · 2012: 4
- FWCI
- 16.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nonlinear Dynamics (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 › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
- Keywords
- image encryption, chaotic maps, permutation and diffusion, pixel correlation reduction, double diffusion, keystream generation, known-plaintext attack resistance, chosen-plaintext attack resistance, chaotic systems
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review