基于新四维混沌系统的医学图像加密  

Medical Image Encryption Based on a New Four-dimensional Chaotic System

作　　者：李佳文 杨娜 李萌萌 李珊珊[1] LI Jia-wen;YANG Na;LI Meng-meng;LI Shan-shan(School of Information Engineering,Chang an University,Xi'an 710064,China)

机构地区：[1]长安大学信息工程学院,西安710064

出　　处：《科学技术与工程》2025年第4期1529-1539,共11页Science Technology and Engineering

摘　　要：在当今数字化医疗环境中,医学图像的传输和共享已成为日常医疗工作的一部分。然而,由于医学图像内含患者隐私信息,若不加以保护,存在非法获取或泄露的风险,带来不必要的困扰。针对这一问题,提出一种基于Zigzag置乱和新四维超混沌系统的医学图像加密算法。首先利用Zigzag算法对图像进行一次置乱,大致隐藏图像的明显轮廓;再利用改进的猫映射算法对图像进行二次置乱,去除图像中明显的纹理特征;最后,将由明文图像生成的加扰因子应用于超混沌系统初始值的产生过程中,再将生成的超混沌序列转换为超混沌矩阵用于加密算法后续的扩散过程。仿真结果表明,所提算法能根据医学图像的特点有效隐藏明文信息,并能抵抗常见类型的攻击。所提算法在鲁棒性测试中表现良好,表明该算法可以解决远程医疗中图像易受干扰的问题。In the contemporary digital healthcare setting,the dissemination and sharing of medical imagery are integral to routine medical operations.However,medical images often contain sensitive patient information,and without adequate protection,there is a risk of illegal acquisition or leakage,which brings unnecessary troubles.To address this issue,an encryption algorithm based on Zigzag scrambling and a new four-dimensional hyperchaotic system was proposed.Firstly,the Zigzag algorithm was used to scramble the image once,roughly hiding the obvious contours of the image.Then,an improved cat mapping algorithm was used to perform secondary scrambling on the image,removing obvious texture features.Finally,the scrambling factor generated from the plaintext image was applied to the initial value generation process of the hyperchaotic system.The generated hyperchaotic sequence was transformed into a hyperchaotic matrix for the subsequent diffusion process of the encryption algorithm.The simulation results show that the proposed algorithm can effectively conceal plaintext information based on the characteristics of medical images and resist common types of attacks.The robustness of the proposed algorithm has been demonstrated through testing,confirming its capability to address the issue of image interference in remote healthcare.

关 键 词：医学图像加密 超混沌系统 猫映射 置乱 扩散 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]