A novel chaotic block image encryption algorithm based on dynamic random growth technique
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Wang and Liu's dynamic random growth technique fills the gaps of periodicity and weakness against chosen-plaintext attacks in Cat-map-based image encryption.
“Xingyuan Wang and Lintao Liu [48] introduced a dynamic random growth technique in their Cat-map-based image-encryption method to fill those two gaps.”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [48]
Currently, the primary method of applying chaos to a stream cipher is to construct keystream generators using chaotic systems.
“Currently, the primary method of applying chaos to a stream cipher is by constructing keystream generators using chaotic systems [48].”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [48]
Cites
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
A chaos-based symmetric image encryption scheme using a bit-level permutation
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A fast image encryption system based on chaotic maps with finite precision representation
Kwok, H. S., & Tang, W. K. S. (2007) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2005.11.090 · Cited by 428 · see citing works
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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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“Xingyuan Wang and Lintao Liu [48] introduced a dynamic random growth technique in their Cat-map-based image-encryption method to fill those two gaps.”
MethodSelf-citationDouble image encryption algorithm based on neural network and chaos
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A Novel Hybrid Secure Image Encryption Based on Julia Set of Fractals and 3D Lorenz Chaotic Map
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- Authors
- Wang, X., Liu, L., & Zhang, Y.
- Affiliations
- Dalian University of Technology (CN)
- Corresponding author
- Wang, Xingyuan
- Venue
- Optics and Lasers in Engineering
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 66
- Pages
- 10-18
- ISSN
- 0143-8166 (ISSN-L)
- OpenAlex
- W2079174845
- Cited by
- 434
- References
- 4
- Citations by year
- 2026: 8 · 2025: 19 · 2024: 18 · 2023: 38 · 2022: 45 · 2021: 65 · 2020: 56 · 2019: 57 · 2018: 53 · 2017: 27 · 2016: 35 · 2015: 12 · 2014: 1
- FWCI
- 22.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Optics and Lasers in Engineering (publishedVersion)
- Funders
- National Natural Science Foundation of China (61370145, 61173183, 60973152)
- Institution of Higher Education of China (20070141014)
- Program for Liaoning Excellent Talents in University (LR2012003)
- National Natural Science Foundation of Liaoning province (20082165)
- Fundamental Research Funds for the Central Universities (DUT12JB06)
- 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, block cipher, chaotic maps, cat map, chosen-plaintext attack resistance, keystream generation, diffusion, secure image transmission
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