ORIGINAL RESEARCH article
Front. Phys.
Sec. Interdisciplinary Physics
Volume 13 - 2025 | doi: 10.3389/fphy.2025.1617964
This article is part of the Research TopicAdvances in Nonlinear Systems and Networks, Volume IIIView all 4 articles
New Discrete Memristive Hyperchaotic Map: Modeling, Dynamic Analysis, and Application in Image Encryption
Provisionally accepted- 1Changsha University of Science and Technology, Changsha, Anhui Province, China
- 2Changsha Medical University, Changsha, Hunan Province, China
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With the rapid development of information technology, the demand for ensuring data security and privacy protection has become increasingly urgent. The purpose of this study is to address the limitations of existing image encryption methods and develop a more secure and efficient image encryption scheme. To achieve this, we adopt a research method that involves constructing a new type of discrete memristor hyperchaotic map by coupling an upgraded cosine discrete memristor with the Cubic map, and then conducting in-depth analysis of the system's dynamic characteristics using phase diagrams, Lyapunov exponential spectra, and bifurcation diagrams to confirm its ability to reach a hyperchaotic state. Based on this hyperchaotic map, we propose a new image encryption scheme, generating high-quality chaotic sequences through its excellent chaotic characteristics to effectively scramble and diffuse image data, and also introducing a novel forward and reverse diffusion strategy in the diffusion process to enhance encryption efficiency. Through experiments on various images, we verify the algorithm's effectiveness in improving encryption strength, reducing information leakage risks, and ensuring data security. Finally, the results of keyspace analysis, histogram analysis, correlation analysis, and information entropy demonstrate that the scheme has high security and practicability, along with good application prospects and practical value.
Keywords: discrete memristors, Hyperchaotic map, dynamical analysis, image encryption, data security
Received: 25 Apr 2025; Accepted: 12 May 2025.
Copyright: © 2025 Yu, Wu, Wang, He, Zhang and Jin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jie Jin, Changsha Medical University, Changsha, 410219, Hunan Province, China
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