中国物理B ›› 2026, Vol. 35 ›› Issue (6): 68702-068702.doi: 10.1088/1674-1056/ae395d

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A visually meaningful medical image encryption scheme based on image steganography and memristive Hopfield neural networks

Wei Yao(姚卫)1,2, Xiangyun Huang(黄翔云)2, Jianhua Xiao(肖捡花)1,†, Fei Yu(余飞)2, and Yichuang Sun(孙义闯)3   

  1. 1 School of Computer and Artificial Intelligence, Huaihua University, Huaihua 418000, China;
    2 School of Physics and Electronic Science, Changsha University of Science and Technology, Changsha 410000, China;
    3 School of Engineering and Technology, University of Hertfordshire, Hatfield AL10 9AB, UK
  • 收稿日期:2025-11-16 修回日期:2026-01-07 接受日期:2026-01-16 发布日期:2026-06-15
  • 通讯作者: Jianhua Xiao E-mail:xiaojianhua@hnu.edu.cn
  • 基金资助:
    This work was supported by the National Natural Science Foundation of China (Grant No. 62202198), the Hunan Natural Science Foundation of China (Grant Nos. 2024JJ7372 and 2022JJ40514), and the Scientific Research Project of the Hunan Provincial Department of Education (Grant No. 24A0550).

A visually meaningful medical image encryption scheme based on image steganography and memristive Hopfield neural networks

Wei Yao(姚卫)1,2, Xiangyun Huang(黄翔云)2, Jianhua Xiao(肖捡花)1,†, Fei Yu(余飞)2, and Yichuang Sun(孙义闯)3   

  1. 1 School of Computer and Artificial Intelligence, Huaihua University, Huaihua 418000, China;
    2 School of Physics and Electronic Science, Changsha University of Science and Technology, Changsha 410000, China;
    3 School of Engineering and Technology, University of Hertfordshire, Hatfield AL10 9AB, UK
  • Received:2025-11-16 Revised:2026-01-07 Accepted:2026-01-16 Published:2026-06-15
  • Contact: Jianhua Xiao E-mail:xiaojianhua@hnu.edu.cn
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (Grant No. 62202198), the Hunan Natural Science Foundation of China (Grant Nos. 2024JJ7372 and 2022JJ40514), and the Scientific Research Project of the Hunan Provincial Department of Education (Grant No. 24A0550).

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摘要： With the advancement of telemedicine technology, the security of digital medical images has become increasingly important. To address this issue, this paper proposes a visually meaningful color medical image encryption algorithm. First, a high-dimensional chaotic sequence is generated using a memristive Hopfield neural network. Subsequently, multi-channel pixel permutation is performed based on a chaos-driven pseudo-random strategy, followed by the implementation of a double-layer diffusion mechanism integrating cellular automata and dynamic deoxyribonucleic acid (DNA) coding. Finally, a chaos-driven cross-channel least significant bit (LSB) embedding approach is adopted. Simulation experiments and security analyses demonstrate that the proposed algorithm achieves excellent encryption performance, a large key space, and strong robustness against noise and data-loss attacks, thereby effectively ensuring the secure transmission of digital medical images.

关键词: Hopfield neural network, memristor, chaotic sequence, image encryption algorithm

Abstract: With the advancement of telemedicine technology, the security of digital medical images has become increasingly important. To address this issue, this paper proposes a visually meaningful color medical image encryption algorithm. First, a high-dimensional chaotic sequence is generated using a memristive Hopfield neural network. Subsequently, multi-channel pixel permutation is performed based on a chaos-driven pseudo-random strategy, followed by the implementation of a double-layer diffusion mechanism integrating cellular automata and dynamic deoxyribonucleic acid (DNA) coding. Finally, a chaos-driven cross-channel least significant bit (LSB) embedding approach is adopted. Simulation experiments and security analyses demonstrate that the proposed algorithm achieves excellent encryption performance, a large key space, and strong robustness against noise and data-loss attacks, thereby effectively ensuring the secure transmission of digital medical images.

Key words: Hopfield neural network, memristor, chaotic sequence, image encryption algorithm

中图分类号:  (Neural networks and synaptic communication)

  • 87.18.Sn
84.30.Bv (Circuit theory) 05.45.-a (Nonlinear dynamics and chaos) 07.05.Pj (Image processing)