面向医学图像的电子病历编码域隐藏加密设计

doi:10.3969/j.issn.0255-8297.2025.05.010

摘要/Abstract

摘要： 随着远程医疗的快速发展，患者隐私数据的安全管理与传输面临严峻挑战。为实现电子病历与医学图像的统一管理与保密存储，提出了一种针对多模态医疗数据的编码域隐藏加密方案。首先设计了一种基于UTF-8编码与位置数制分解的字符串图像化算法，将电子病历转换为编码图像，保障数据的隐私性和安全性。其次提出一种改进的HiNet可逆网络，将医学图像嵌入编码图像中，并通过引入Kullback-Leibler (KL)散度约束分布距离，提升图像嵌入与重建的精确性和鲁棒性。最后为进一步增强载密图像的安全性，设计了一种基于逻辑-正余弦混沌系统的Bit级加密算法，利用高敏感性和非线性特性实现强加密保护。实验结果表明，所提方案不仅能够有效保障数据的安全性，而且可同时实现电子病历的无损访问与医学图像的高质量恢复，为远程医疗中的多模态数据安全管理提供了更高的保密性。

关键词: Bit级混沌加密, UTF-8编码, 可逆网络隐写, 多模态数据, 隐私保护

Abstract: With the rapid development of telemedicine, the secure management and transmission of patient privacy data face significant challenges. To achieve unified management and secure storage of electronic medical records (EMRs) and medical images, this paper proposes an encoding-domain hidden encryption scheme for multimodal medical data. Specifically, a string-to-image transformation algorithm based on UTF-8 encoding and positional numeral decomposition is designed to convert EMRs into encoded images, ensuring data privacy and security. To facilitate integrated management of multimodal data, an improved HiNet reversible network is introduced to embed medical images into encoded images. By incorporating the Kullback-Leibler (KL) divergence to constrain the distribution distance, the scheme enhances the accuracy and robustness of image embedding and reconstruction. Furthermore, to strengthen the security of the encoded images, a bit-level encryption algorithm based on the logic-sine-cosine chaotic system is designed, leveraging its high sensitivity and nonlinear characteristics for robust encryption. Experimental results demonstrate that the proposed encoding-domain hidden encryption scheme effectively ensures data security while enabling lossless access to EMRs and high-quality recovery of medical images, offering enhanced confidentiality for secure management of multimodal data in telemedicine.

Key words: Bit-level chaotic encryption, UTF-8 encoding, reversible network steganography, multimodal data, privacy protection

中图分类号:

TP309

郭昌豪, 李梦, 李豪杰, 王欢欢, 王新菲. 面向医学图像的电子病历编码域隐藏加密设计[J]. 应用科学学报, 2025, 43(5): 828-848.

GUO Changhao, LI Meng, LI Haojie, WANG Huanhuan, WANG Xinfei. Design of Encoding-Domain Hidden Encryption for Electronic Medical Records in Medical Images[J]. Journal of Applied Sciences, 2025, 43(5): 828-848.

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