The spatial-domain encryption of digital images based on high-dimension chaotic system
Abstract
The Lorenz chaotic system is applied to the digital image encryption based on the thought of higher secrecy of high-dimension chaotic system in this paper. Firstly, the pretreatment to the real value chaotic sequences produced by the system is carried out. Secondly, the index matrix of pixel permutation is structured by this real value chaotic sequence. Finally, the spatial-domain encryption of digital image is realized in 8times8 block. The analysis and simulation indicates, after the pretreatment, the real value chaotic sequence has the better pseudo-random characteristic. Additionally, with the bigger secret-key space of the high-dimension chaotic system, the algorithm has the quite strong function of resisting decryption and resisting attack. Three-dimension outputs of the system can realize the parallel encryption of three or more images, so increase the encryption efficiency of the algorithm
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Wang Ying's high-dimensional Lorenz equation scheme is suitable for layered encryption of three-dimensional data such as color images.
“Therefore, it is suitable for layered encryption of three-dimensional data such as color images.”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [79]
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- Authors
- Ying, W., DeLing, Z., Lei, J., & Yaoguang, W.
- Affiliations
- University of Science and Technology Beijing (CN)
- ORCID
- Wang Ying
- Venue
- IEEE Conference on Cybernetics and Intelligent Systems, 2004.
- Publisher
- IEEE
- Published
- 2005-07-06
- Volume
- 2
- Pages
- 1172-1176
- OpenAlex
- W2168177286
- Cited by
- 22
- References
- 14
- Citations by year
- 2023: 2 · 2022: 1 · 2021: 2 · 2020: 1 · 2017: 2 · 2016: 3 · 2015: 1 · 2014: 1 · 2013: 4 · 2012: 1
- FWCI
- 0.52
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Conference on Cybernetics and Intelligent Systems (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 › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
- Keywords
- image encryption, hyperchaotic systems, Lorenz chaotic system, pixel permutation, block cipher, pseudorandom sequences
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