Selective image encryption using a spatiotemporal chaotic system
Abstract
A universal selective image encryption algorithm, in which the spatiotemporal chaotic system is utilized, is proposed to encrypt gray-level images. In order to resolve the tradeoff between security and performance, the effectiveness of selective encryption is discussed based on simulation results. The scheme is then extended to encrypt RGB color images. Security analyses for both scenarios show that the proposed schemes achieve high security and efficiency.
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?
The one-way coupled-map lattice (OCML) is often applied to symmetric stream-cipher-based image encryption.
“The one-way coupled-map lattice (OCML), as an example of a spatiotemporal chaotic system, was often applied to symmetric stream-cipher-based image encryption [91,92].”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [92]
Cited by
Sorted by citations
A chaos-based symmetric image encryption scheme using a bit-level permutation
Zhu, Z.-L., Zhang, W., Wong, K.-W., & Yu, H. (2011) · Information Sciences · doi:10.1016/j.ins.2010.11.009 · Cited by 662 · see citing works
Self-citationA symmetric image encryption algorithm based on mixed linear–nonlinear coupled map lattice
Zhang, Y.-Q., & Wang, X.-Y. (2014) · Information Sciences · doi:10.1016/j.ins.2014.02.156 · Cited by 566 · see citing works
A new image encryption algorithm based on non-adjacent coupled map lattices
Zhang, Y.-Q., & Wang, X.-Y. (2015) · Applied Soft Computing · doi:10.1016/j.asoc.2014.09.039 · Cited by 360 · see citing works
Chaos-Based Image Encryption: Review, Application, and Challenges
Zhang, B., & Liu, L. (2023) · Mathematics · doi:10.3390/math11112585 · Cited by 328 · see citing works
“The one-way coupled-map lattice (OCML), as an example of a spatiotemporal chaotic system, was often applied to symmetric stream-cipher-based image encryption [91,92].”
MethodOn the cryptanalysis of Fridrich’s chaotic image encryption scheme
Xie, E. Y., Li, C., Yu, S., & Lü, J. (2017) · Signal Processing · doi:10.1016/j.sigpro.2016.10.002 · Cited by 268 · see citing works
A novel color image encryption scheme using dna permutation based on the lorenz system
Wang, X.-Y., Li, P., Zhang, Y.-Q., Liu, L.-Y., Zhang, H., & Wang, X. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-017-4534-z · Cited by 92 · see citing works
A 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
- Authors
- Xiang, T., Wong, K.-W., & Liao, X.
- Affiliations
- Chongqing University (CN)
- City University of Hong Kong (HK)
- Venue
- Chaos: An Interdisciplinary Journal of Nonlinear Science
- Publisher
- AIP Publishing
- Published
- 2007-05-21
- Volume
- 17
- Issue
- 2
- Pages
- 023115-023115
- ISSN
- 1054-1500 (ISSN-L)
- 1089-7682
- OpenAlex
- W1968703490
- Cited by
- 193
- References
- 0
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 8 · 2023: 9 · 2022: 11 · 2021: 15 · 2020: 18 · 2019: 14 · 2018: 20 · 2017: 8 · 2016: 14 · 2015: 6 · 2014: 16 · 2013: 12 · 2012: 14
- FWCI
- 6.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Chaos An Interdisciplinary Journal of Nonlinear Science (publishedVersion)
- PubMed (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, selective encryption, spatiotemporal chaos, chaotic systems, grayscale images, RGB images, encryption security, encryption efficiency
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