Image encryption scheme based on 3D baker with dynamical compound chaotic sequence cipher generator
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Tong and Cui's use of dynamical compound chaos and perturbation technology solves the problem of computer-limited precision caused by low-digitalized one-dimensional chaotic functions.
“They solved the problem of computer-limited precision owing to the low-digitalized onedimensional chaotic function using dynamical compound chaos and perturbation technology.”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [45]
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
Bassham, L. E., Rukhin, A. L., Soto, J., Nechvatal, J. R., Smid, M. E., Barker, E. B., Leigh, S. D., Levenson, M., Vangel, M., Banks, D. L., et al. (2010) · NIST Special Publication 800-22 Revision 1a · doi:10.6028/nist.sp.800-22r1a · Cited by 3,617 · see citing works
A symmetric image encryption scheme based on 3D chaotic cat maps
Chen, G., Mao, Y., & Chui, C. K. (2004) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2003.12.022 · Cited by 2,092 · see citing works
Rukhin, A., Sota, J., Nechvatal, J., Smid, M., Barker, E., Leigh, S., Levenson, M., Vangel, M., Banks, D., Heckert, A., et al. (2000) · doi:10.6028/nist.sp.800-22 · Cited by 1,867 · see citing works
A novel block cryptosystem based on iterating a chaotic map
Xiang, T., Liao, X., Tang, G., Chen, Y., & Wong, K.-W. (2006) · Physics Letters A · doi:10.1016/j.physleta.2005.02.083 · Cited by 209 · 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
“It is clear that both conventional histogram analysis and Shannon entropy test lack properties 1), 3) and 4) and that autocorrelation analysis, UACI and NPCR attain the property 1) 2) and 3) while not 4).”
BackgroundMethodInfluentialChaos-Based Image Encryption: Review, Application, and Challenges
Zhang, B., & Liu, L. (2023) · Mathematics · doi:10.3390/math11112585 · Cited by 328 · see citing works
“Xiaojun Tong and Minggen Cui [45] proposed a compound two-dimensional chaotic map to generate a chaotic sequence for dividing an image by employing two one-dimensional chaotic maps that switch randomly. sequence for dividing an image by employing two one-dimensional switch randomly.”
BackgroundLi, S., Li, C., Chen, G., Bourbakis, N. G., & Lo, K.-T. (2008) · Signal Processing: Image Communication · doi:10.1016/j.image.2008.01.003 · Cited by 324 · see citing works
Image encryption using a new parametric switching chaotic system
Zhou, Y., Bao, L., & Chen, C. L. P. (2013) · Signal Processing · doi:10.1016/j.sigpro.2013.04.021 · Cited by 265 · see citing works
A novel chaotic image encryption algorithm based on improved baker map and logistic map
Luo, Y., Yu, J., Lai, W., & Liu, L. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-7453-3 · Cited by 230 · see citing works
Optimal quantitative cryptanalysis of permutation-only multimedia ciphers against plaintext attacks
Li, C., & Lo, K.-T. (2011) · Signal Processing · doi:10.1016/j.sigpro.2010.09.014 · Cited by 213 · see citing works
“Unfortunately, most of them have been found to be insecure of different extents from the viewpoint of modern cryptography [6, 7, 8, 9, 10, 11, 12, 13, 14].”
BackgroundCheng, G., Wang, C., & Chen, H. (2019) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127419501153 · Cited by 127 · see citing works
A novel image encryption/decryption scheme based on chaotic neural networks
Bigdeli, N., Farid, Y., & Afshar, K. (2012) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2012.01.007 · Cited by 88 · see citing works
A hyperchaotic image encryption scheme based on the triple dislocation of the liu and lorenz system
Tang, M., Zeng, G., Yang, Y., & Chen, J. (2022) · Optik · doi:10.1016/j.ijleo.2022.169133 · Cited by 34 · see citing works
- Authors
- Tong, X., & Cui, M.
- Affiliations
- Harbin Institute of Technology (CN)
- Corresponding author
- Tong, Xiaojun
- ORCID
- Tong, Xiaojun
- Venue
- Signal Processing
- Publisher
- Elsevier BV
- Published
- 2009-04
- Volume
- 89
- Issue
- 4
- Pages
- 480-491
- ISSN
- 0165-1684 (ISSN-L)
- OpenAlex
- W1978383253
- Cited by
- 196
- References
- 5
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 3 · 2023: 3 · 2022: 5 · 2021: 9 · 2020: 5 · 2019: 10 · 2018: 2 · 2017: 11 · 2016: 10 · 2015: 20 · 2014: 21 · 2013: 21 · 2012: 23
- FWCI
- 19.18
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Signal Processing (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 › Mathematics › Mathematical Physics › Mathematical Dynamics and Fractals
- Keywords
- image encryption, pixel permutation, chaos theory, encryption security analysis, chosen-plaintext attack resistance, key sensitivity
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