An image encryption approach based on chaotic maps
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The average correlation coefficient of the proposed system is less than that of all the other compared methods.
“As shown, the average correlation coefficient of the proposed system is less than all of the other methods.”
From Chaotic Image Encryption Design Using Tompkins-Paige Algorithm (2009) · cites this paper as [9]
The proposed method's NPCR differs from the expected value by 0.09% and is improved compared to the other reported methods.
“As shown in Table 4 our proposed method with 0.09% difference to the expected value of NPCR is improved compared to the other reported methods.”
From Chaotic Image Encryption Design Using Tompkins-Paige Algorithm (2009) · cites this paper as [9]
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Lin, Z.-H., & Wang, H. (2009) · International Conference on Communications, Circuits and Systems · doi:10.1109/icccas.2009.5250354 · Cited by 33 · see citing works
Data encryption performance based on Blowfish
Mousa, A. (2005) · International Symposium ELMAR (ELMAR) · doi:10.1109/elmar.2005.193660 · Cited by 33 · see citing works
Zhuang, Z., Zhuang, Z., & Wang, T. (2024) · Scientific Reports · doi:10.1038/s41598-023-50661-9 · Cited by 33 · see citing works
Transreceiving of encrypted medical image – a cognitive approach
Praveenkumar, P., Devi, N. K., Ravichandran, D., Avila, J., Thenmozhi, K., Rayappan, J. B. B., & Amirtharajan, R. (2017) · Multimedia tools and applications · doi:10.1007/s11042-017-4741-7 · Cited by 32 · see citing works
- Authors
- Zhang, L., Liao, X., & Wang, X.
- Affiliations
- Chongqing University (CN)
- Corresponding author
- Zhang, Linhua
- Venue
- Chaos, Solitons & Fractals
- Publisher
- Elsevier BV
- Published
- 2005-05
- Volume
- 24
- Issue
- 3
- Pages
- 759-765
- ISSN
- 0960-0779 (ISSN-L)
- OpenAlex
- W1974073264
- Cited by
- 374
- References
- 20
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 7 · 2023: 8 · 2022: 7 · 2021: 17 · 2020: 15 · 2019: 23 · 2018: 13 · 2017: 21 · 2016: 17 · 2015: 20 · 2014: 23 · 2013: 34 · 2012: 44
- FWCI
- 7.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Chaos Solitons & Fractals (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Natural Science Foundation of China
- 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, confusion and diffusion, statistical attack resistance, differential attack resistance, image security
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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