Triple Layer RGB Image Encryption Algorithm Utilizing Three Hyperchaotic Systems and Its FPGA Implementation
Open accessAbstract
Image encryption is essential for protecting sensitive visual data during transmission and storage. This article introduces a novel image encryption technique that utilizes three hyperchaotic systems: a memristor system, a hyperchaotic 7D system, and an Erbium-doped fiber laser-based system. The algorithm takes advantage of the complex dynamics and random-like behavior of these systems to implement a robust three-layer encryption process. In each layer, a pseudo-random number generator is used to construct an S-box and an encryption key, which are subsequently applied to the image data. The proposed encryption scheme is implemented in software using Wolfram Mathematica® version 13.1 and in hardware using an AMD Virtex-7 FPGA VC707, achieving encryption rates of 9.7 Mbps and 0.67 Gbps, respectively. Experimental results demonstrate the scheme’s effectiveness in terms of encryption quality, resistance to various cryptanalysis attacks, and a high computational efficiency. The proposed method shows significant potential for secure image transmission and storage applications.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The scheme is suitable for SIMD/GPU acceleration and FPGA implementations in bandwidth-constrained remote-sensing pipelines.
“making the scheme suitable for SIMD/GPU acceleration and FPGA implementations in bandwidth-constrained remote-sensing pipelines22,31,32.”
From Hyperchaotic fractional-order image encryption with Knight’s tour scrambling for satellite imagery (2026) · cites this paper as [31]
The proposed algorithm has a key space of 2^5102, surpassing most existing methods, including 2^4624 in reference 36 and 2^554 in reference 30.
“With a key space of 2^{5102}, the proposed algorithm surpasses most existing methods, including those with substantial key spaces such as36 2^{4624} and30 (2^{554}).”
From A chaos-based augmented image encryption scheme for satellite images using Fredkin logic (2025) · cites this paper as [36]
Cited by
Sorted by citations
Alexan, W., & Megalli, Y. (2025) · Discover Electronics · doi:10.1007/s44291-025-00116-4 · Cited by 37 · see citing works
Self-citationA 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
Self-citationUlutas, H. (2025) · Scientific Reports · doi:10.1038/s41598-025-21604-3 · Cited by 17 · see citing works
Meng, F., Wu, G., & Zhang, J. (2025) · Journal of King Saud University Computer and Information Sciences · doi:10.1007/s44443-025-00163-7 · Cited by 14 · see citing works
Hyperchaotic fractional-order image encryption with Knight’s tour scrambling for satellite imagery
Mamdouh, E., Aboshousha, A., & Alexan, W. (2026) · Scientific Reports · doi:10.1038/s41598-026-58982-1 · Cited by 3 · see citing works
Self-citation
- Authors
- Alexan, W., Elabyad, N., Khaled, M., Osama, R., El-Damak, D., Abd El Ghany, M. A., Korayem, Y., Mamdouh, E., & Gabr, M.
- Affiliations
- German University in Cairo (EG)
- Electronics Department, Faculty Information Engineering and Technology, German University in Cairo (GUC), New Cairo, Egypt
- ORCID
- Venue
- IEEE Access
- Published
- 2024
- Volume
- 12
- Pages
- 118339-118361
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W4402157719
- Cited by
- 53
- References
- 0
- Citations by year
- 2026: 15 · 2025: 37 · 2024: 1
- FWCI
- 7.45
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- IEEE Access (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- 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 › Artificial Intelligence › Cryptographic Implementations and Security
- Keywords
- image encryption, hyperchaotic systems, erbium-doped fiber laser, pseudorandom number generators, S-box, FPGA implementation, hardware encryption, cryptanalysis resistance, secure image transmission
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review