Memristive chaotic system-based hybrid image encryption application with AES and RSA algorithms
Abstract
The widespread use of information and communication tools today facilitates information access and highlights the significance of information and data security. In recent years, chaos-based encryption systems have emerged as a promising approach for protecting the confidentiality of transmitted images. In particular, memristor-based hyperchaotic systems have attracted significant attention because of their robustness and complexity. In this paper, we propose an image encryption model that employs a two-stage encryption method using various chaotic systems, including the logistic map, Lorenz chaotic system, and memristor-based hyperchaotic system, with AES and RSA encryption algorithms. The proposed hybrid scheme applies bit-based pixel diffusion and confusion techniques to improve the security of encrypted images. Statistical and security tests are conducted to compare the performance of the different encryption systems and algorithms and to present the measurement values obtained from the analysis. Our experimental results demonstrate the effectiveness of the proposed image encryption scheme in terms of security, speed, and reliability and provide valuable insights for the development of future chaos-based encryption systems.
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For a well-encrypted image, correlation values close to zero signify a lack of statistical dependence and support the claim of randomness in the encrypted output.
“For a well-encrypted image, the resulting correlation values should be close to zero, which signifies a lack of statistical dependence and supports the claim of randomness in the encrypted output 30 ,54.”
From A novel memristor-based hyperchaotic hybrid encryption system with DNA for image encryption on the Jetson TX2 (2025) · cites this paper as [30]
Cites
Memristor—The Missing Circuit Element
Chua, L. (1971) · IEEE Transactions on Circuit Theory · doi:10.1109/tct.1971.1083337 · Cited by 10,268 · see citing works
When an attacker meets a cipher-image in 2018: A year in review
Li, C., Zhang, Y., & Xie, E. Y. (2019) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2019.102361 · Cited by 217 · 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
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Real time hybrid medical image encryption algorithm combining memristor-based chaos with DNA coding
Demirkol, A. S., Sahin, M. E., Karakaya, B., Ulutas, H., Ascoli, A., & Tetzlaff, R. (2024) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2024.114923 · Cited by 73 · see citing works
SRA: A sine-based reconstruction approach to improve 2D chaotic map performance
Ding, S., Wang, X., Zhu, P., Erkan, U., Toktas, A., Li, Q., Mou, J., & Gao, S. (2026) · The European Physical Journal Plus · doi:10.1140/epjp/s13360-026-07421-1 · Cited by 40 · see citing works
Ulutas, H. (2025) · Scientific Reports · doi:10.1038/s41598-025-21604-3 · Cited by 17 · see citing works
“For a well-encrypted image, the resulting correlation values should be close to zero, which signifies a lack of statistical dependence and supports the claim of randomness in the encrypted output 30 , 54 .”
- Authors
- Sahin, M. E.
- ORCID
- Sahin, M Emin
- Venue
- Physica Scripta
- Publisher
- IOP Publishing
- Published
- 2023-06-15
- Volume
- 98
- Issue
- 7
- Pages
- 075216
- ISSN
- 0031-8949 (ISSN-L)
- 1402-4896
- OpenAlex
- W4380789164
- Cited by
- 29
- References
- 3
- Citations by year
- 2026: 7 · 2025: 13 · 2024: 5 · 2023: 4
- FWCI
- 2.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Physica Scripta (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, chaos-based cryptography, hybrid encryption, AES, logistic map, Lorenz chaotic system, pixel diffusion, confusion, data security
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