An asymmetric image cryptosystem based on the adaptive synchronization of an uncertain unified chaotic system and a cellular neural network
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Claims the paper makes
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
The adaptive controller of [107] asymptotically synchronizes two chaotic systems.
“An adaptive controller with a parameter update law was constructed by them to asymptotically synchronize two chaotic systems.”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [107]
Chao-Jung Cheng and Chi-Bin Cheng [107] first introduced an asymmetric cryptosystem to chaos-based image encryption in 2013.
“In 2013, Chao-Jung Cheng and Chi-Bin Cheng [107] first introduced an asymmetric cryptosystem to chaos-based image encryption with the adaptive synchronization of an uncertain unified chaotic system and a cellular neural network.”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [107]
The synchronous controller of [107] produces a pair of asymmetric keys for image encryption and decryption.
“This synchronous controller was used in the image-encryption process to produce a pair of asymmetric keys for image encryption and decryption.”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [107]
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
“…algorithms based on chaos synchronization, chaotic algorithms based on RSA, chaotic image-encryption In 2013, Chao-Jung Cheng and Chi-Bin Cheng [107] first introduced an asymmetric cryptosystem to chaos-based image encryption with the adaptive synchronization of an uncertain unified chaotic…”
Method
- Authors
- Cheng, C.-J., & Cheng, C.-B.
- Affiliations
- Tamkang University (TW)
- Corresponding author
- Cheng, Chao-Jung
- Venue
- Communications in Nonlinear Science and Numerical Simulation
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 18
- Issue
- 10
- Pages
- 2825-2837
- ISSN
- 1007-5704 (ISSN-L)
- OpenAlex
- W2066266638
- Cited by
- 36
- References
- 0
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 2 · 2022: 1 · 2021: 1 · 2018: 2 · 2017: 6 · 2016: 5 · 2015: 3 · 2014: 7 · 2013: 2
- FWCI
- 6.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Communications in Nonlinear Science and Numerical Simulation (publishedVersion)
- Tamkang University Institutional Repository (TKUIR) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
- Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
- Keywords
- adaptive synchronization, unified chaotic system, cellular neural networks, adaptive control, Lyapunov stability
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.
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