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A new hybrid digital chaotic system with applications in image encryption
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“To complete encryption, only WH 2 rounds of permutation is needed, which is much less than those reported in Ref. [8] and Ref. [49].”
From A Robust Image Encryption Algorithm Based on a 32-bit Chaotic System (2020) · cites this paper as [8]
In the citing paper
“Overall, the time complexity of the proposed scheme is WH + 4(W + H ), which is much lower than that reported in Ref. [8], [49], [51], [54].”
From A Robust Image Encryption Algorithm Based on a 32-bit Chaotic System (2020) · cites this paper as [8]
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Research works printed but not linked: 2
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- Niyat, 2017, Color image encryption based on hybrid hyper-chaotic system and cellular automata, Opt. Lasers Eng., 90, 225, 10.1016/j.optlaseng.2016.10.019 · DOI · Paper page
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Metadata
- Authors
- Alawida, M., Samsudin, A., Teh, J. S., & Alkhawaldeh, R. S.
- Affiliations
- Universiti Sains Malaysia (MY)
- University of Jordan (JO)
- Corresponding author
- Teh, Je Sen
- Venue
- Signal Processing
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 160
- Pages
- 45-58
- ISSN
- 0165-1684 (ISSN-L)
- OpenAlex
- W2918149988
- Cited by
- 401
- References
- 51
- Citations by year
- 2026: 22 · 2025: 34 · 2024: 42 · 2023: 56 · 2022: 87 · 2021: 85 · 2020: 50 · 2019: 25
- FWCI
- 27.65
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Locations
- Signal Processing (publishedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Universiti Sains Malaysia (304/PKOMP/6316280)
- National Natural Science Foundation of China (61702212)
- 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, chaotic maps, hybrid chaotic system, chaotification, digital chaos, confusion and diffusion, pixel shuffling, pixel substitution, cryptanalysis resistance, parameter sensitivity
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 ›
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