Image encryption scheme using a new 4-D chaotic system with a cosinoidal nonlinear term in WMSNs
Open accessAbstract
To protect the sensitive data captured in the wireless media sensor networks (WMSNs), this paper propounds a novel data encryption scheme by employing a new chaotic system and the semi-tensor product compressive sensing model driven by a linear congruence generator. In this scheme, the coefficients yielded by sparsely decomposing the plaintext image onto a wavelet packet basis are firstly compressed using a key-controlled measurement matrix. To minimize the threat of various attacks, the compressed image is then subjected to bidirectional diffusion manipulation to conceal its statistical properties under the control of chaotic sequences. Additionally, it is worth explaining that a lightweight 4D-chaotic system with only one nonlinear term is designed to accommodate the resource-constrained situation in WMSNs. Finally, theoretical analysis and investigations affirm its significant enhancement in visual security, compressibility, and encryption efficiency. Moreover, the proposed scheme is significantly superior to existing relevant encryption ones.
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Chaos-based image encryption algorithms are efficient, making them ideal for real-time applications and suitable for environments with constrained computational resources.
“Additionally, chaos-based image encryption algorithms are known for their efficiency, making them ideal for real-time applications and suitable for environments with constrained computational resources17,18.”
From A chaos-based augmented image encryption scheme for satellite images using Fredkin logic (2025) · cites this paper as [17]
Section 6.7 reports that the proposed chaos-based scheme encrypts images faster than the alternatives tested, while Section 2 describes its lightweight design for resource-limited sensor networks. The paper does not establish that chaos-based image encryption algorithms generally are ideal for real-time use, and its timing tests used a laptop rather than a resource-constrained sensor node. (LLM, conf=0.86)
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Cited by
Sorted by citations
A chaos-based augmented image encryption scheme for satellite images using Fredkin logic
Alexan, W., Maher, E. A., Mamdouh, E., Youssef, M., & Ehab, N. (2025) · Scientific Reports · doi:10.1038/s41598-025-22008-z · Cited by 20 · see citing works
“Additionally, chaos-based image encryption algorithms are known for their efficiency, making them ideal for real-time applications and suitable for environments with constrained computational resources 17,18 .”
- Authors
- Fan, F., Verma, V., Long, G., Tsafack, N., & Jiang, D.
- Affiliations
- Nanchang University (CN)
- Indian Institute of Technology Dhanbad (IN)
- Henan University (CN)
- University of Douala (CM)
- Sun Yat-sen University (CN)
- Corresponding author
- Verma, Vivek
- Venue
- Physica Scripta
- Publisher
- IOP Publishing
- Published
- 2024-04-04
- Volume
- 99
- Issue
- 5
- Pages
- 055216
- ISSN
- 0031-8949 (ISSN-L)
- 1402-4896
- OpenAlex
- W4393057847
- Cited by
- 20
- References
- 1
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 6
- FWCI
- 2.81
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Physica Scripta (publishedVersion)
- Funders
- Fangliang Fan (GJJ2203811)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Data Compression Techniques
- Keywords
- image encryption, semi-tensor product, compressed sensing, wavelet packet decomposition, bidirectional diffusion, resource-constrained networks, visual security
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