Image Encryption and Chaotic Cellular Neural Network
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The proposed study's outcome is somewhat better than the authors' earlier implementation study, in which the image was protected using Chaotic Map, Deep Neural Network and Elliptical Curve Cryptography.
“This outcome is also somewhat better version of our earlier implementation study, in which the image was protected using Chaotic Map [47], Deep Neural Network [52], and Elliptical Curve Cryptography [53].”
From A Faster and Robust Artificial Neural Network Based Image Encryption Technique With Improved SSIM (2024) · cites this paper as [47]
Cites
Communication Theory of Secrecy Systems
Shannon, C. E. (1949) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1949.tb00928.x · Cited by 9,440 · see citing works
Secure spread spectrum watermarking for multimedia
Cox, I. J., Kilian, J., Leighton, F. T., & Shamoon, T. (1997) · IEEE Transactions on Image Processing · doi:10.1109/83.650120 · Cited by 5,299 · see citing works
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Local Shannon entropy measure with statistical tests for image randomness
Wu, Y., Zhou, Y., Saveriades, G., Agaian, S., Noonan, J. P., & Natarajan, P. (2013) · Information Sciences · doi:10.1016/j.ins.2012.07.049 · Cited by 722 · see citing works
“This method has been widely adopted in testing the performance of an image cipher [6,12,42,55,64,66].”
MethodA Faster and Robust Artificial Neural Network Based Image Encryption Technique With Improved SSIM
Panigrahy, A. K., Maniyath, S. R., Sathiyanarayanan, M., Dholvan, M., Ramaswamy, T., Hanumanthakari, S., Vignesh, N. A., Kanithan, S., & Swain, R. (2024) · IEEE Access · doi:10.1109/access.2024.3353294 · Cited by 35 · see citing works
- Authors
- Peng, J., & Zhang, D.
- Affiliations
- Chongqing University of Science and Technology (CN)
- California State University System (US)
- Corresponding author
- Peng, Jun
- Venue
- Machine Learning in Cyber Trust
- Publisher
- Springer US
- Published
- 2009
- Pages
- 183-213
- OpenAlex
- W1629323543
- Cited by
- 9
- References
- 2
- Citations by year
- 2024: 1 · 2022: 1 · 2021: 1 · 2016: 1 · 2015: 1 · 2014: 1 · 2013: 2 · 2012: 1
- FWCI
- 0.75
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Cellular Automata and Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
- Keywords
- image encryption, chaos-based cryptography, key space analysis, sensitivity analysis, statistical analysis, information 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.
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