Real time hybrid medical image encryption algorithm combining memristor-based chaos with DNA coding
Open accessAbstract
Image encryption is a commonly used method to secure medical data on a public network, playing a crucial role in the healthcare industry. Because of their complex dynamics, memristors are often used in developing novel chaotic systems that can improve the efficiency of encryption algorithms based on chaos. In this work, we propose a novel locally active memristor-based chaotic circuit model and present a real time hybrid image encryption application developed on a PYNQ-Z1 (Python Productivity for Zynq) low-cost FPGA board using Jupiter programming environment. The proposed hybrid algorithm combines memristor-based chaos with a DNA (deoxyribonucleic acid) encryption algorithm exploiting diffusion-confusion technique. We initially present a new compact and inductorless chaotic circuit, derive the model equations, and then verify its chaotic dynamics numerically through the investigation of the phase portraits, Lyapunov exponents and the bifurcation diagrams. We further implement the chaotic circuit experimentally with discrete elements. The randomness of the chaotic sequence is improved using Trivium and von Neumann post-processor algorithms and assessed through the NIST tests. Finally, the performance of the encryption algorithm is evaluated through various metrics, including histogram and correlation analyses, differential attack, information entropy, as well as data-loss and noise attack, demonstrating its security and suitability for real-time encryption systems.
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Trivium initializes a 288-bit internal state using an 80-bit secret key and an 80-bit initialization vector.
“The algorithm operates by initializing a 288-bit internal state using an 80-bit secret key and an 80-bit initialization vector (IV)41,42.”
From A novel memristor-based hyperchaotic hybrid encryption system with DNA for image encryption on the Jetson TX2 (2025) · cites this paper as [42]
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Multi-image encryption based on three-step phase-shifting digital holography
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Three-Dimensional Discrete Echo-Memristor Map: Dynamic Analysis and DSP Implementation
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A dual medical image encryption algorithm based on dynamic DNA operations
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Image Encryption Approach Using Six-Dimensional Hyperchaotic System and Kakuro Puzzle
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BSTCH: Biometric-Enabled Chaotic Quantum-Based Encryption Scheme for Securing Medical Images
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Key-Dependent Graph Symmetry Breaking for Block-Based Image Encryption
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FS-VMADW: a frequency–spatial vision mamba framework for dual watermarking of medical MRI images
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- Authors
- Demirkol, A. S., Sahin, M. E., Karakaya, B., Ulutas, H., Ascoli, A., & Tetzlaff, R.
- Affiliations
- Politecnico di Torino (IT)
- Technische Universität Dresden (DE)
- Venue
- Chaos, Solitons & Fractals
- Publisher
- Elsevier BV
- Published
- 2024-06
- Volume
- 183
- Pages
- 114923
- ISSN
- 0960-0779 (ISSN-L)
- OpenAlex
- W4395447286
- Cited by
- 73
- References
- 69
- Citations by year
- 2026: 24 · 2025: 41 · 2024: 8
- FWCI
- 10.27
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Chaos Solitons & Fractals (publishedVersion, cc-by)
- PORTO@Iris (submittedVersion, cc-by-nc-nd)
- RePEc: Research Papers in Economics (submittedVersion)
- DSpace - FIRAT (Fırat University) (submittedVersion, cc-by-nc-nd)
- Funders
- TÜBİTAK
- DFG
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
- Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
- Keywords
- image encryption, medical image encryption, DNA coding, chaotic circuits, FPGA implementation, real-time encryption, NIST randomness tests, Lyapunov exponents, differential attack, noise attacks, healthcare data security
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