Healthcare and telemedicine industries are relying on technology that is connected to the Internet. Digital health data are more prone to cyber attacks because of the treasure trove of personal data they possess. This necessitates protection of digital medical images and their secure transmission. In this paper, an encryption technique based on DNA mutated with Lorenz and Lü chaotic attractors is employed to generate high pseudo-random key streams. The proposed chaos-DNA cryptic system operates on the integer wavelet transform (IWT) domain and a bio-inspired crossover, mutation unit for enhancing the confusion and diffusion phase in an approximation coefficient. Finally, an XOR operation is performed with a quantised chaotic set from the developed combined attractors. The algorithm attains an average entropy of 7.9973, near-zero correlation with an NPCR of 99.642%, a UACI of 33.438%, and a keyspace of 10²⁰³. Further, the experimental analyses and NIST statistical test suite have been designed such that the proposed medical image encryption technique has the potency to withstand any statistical, differential, and brute force attacks.

医疗保健和远程医疗行业依赖于连接到互联网的技术。数字健康数据更容易受到网络攻击，因为它们拥有大量个人数据。这需要保护数字医学图像及其安全传输。在本文中，采用基于洛伦兹和吕混沌吸引子突变的 DNA 的加密技术来生成高伪随机密钥流。所提出的混沌 DNA 隐秘系统在整数小波变换 (IWT) 域和仿生交叉、突变单元上运行，用于在近似系数中增强混淆和扩散阶段。最后，使用来自开发的组合吸引子的量化混沌集执行 XOR 操作。该算法的平均熵为 7.9973，²⁰³ . 此外，实验分析和 NIST 统计测试套件的设计使得所提出的医学图像加密技术具有抵御任何统计、差分和蛮力攻击的能力。