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Dynamic analysis of high dimensional HNN with logistic-based memristors and application in military image encryption
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“As summarized in Table 9, the proposed method achieves an entropy value of 7.9973, which is very close to the theoretical ideal of 8 and comparable to the best results reported in the literature (e.g.,20,29).”
From A novel memristor-based hyperchaotic hybrid encryption system with DNA for image encryption on the Jetson TX2 (2025) · cites this paper as [20]
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Metadata
- Authors
- Wang, Y., Su, P., Wang, Z., & Sun, J.
- Affiliations
- Zhengzhou University of Light Industry (CN)
- Corresponding author
- Sun, Junwei
- Venue
- Chaos, Solitons & Fractals
- Publisher
- Elsevier BV
- Published
- 2025-10
- Volume
- 199
- Pages
- 116868
- ISSN
- 0960-0779 (ISSN-L)
- OpenAlex
- W4412501356
- Cited by
- 21
- References
- 46
- Citations by year
- 2026: 17 · 2025: 4
- FWCI
- 7.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Chaos Solitons & Fractals (publishedVersion)
- Funders
- National Natural Science Foundation of China (62276239, 62272424)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
- Keywords
- memristive Hopfield neural network, chaotic attractors, chaos-based image encryption, hardware circuit design
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