Medical images possess significant importance in diagnostics when it comes to healthcare systems. These images contain confidential and sensitive information such as patients’ X-rays, ultrasounds, computed tomography scans, brain images, and magnetic resonance imaging. However, the low security of communication channels and the loopholes in storage systems of hospitals or medical centres put these images at risk of being accessed by unauthorized users who illegally exploit them for non-diagnostic purposes. In addition to improving the security of communication channels and storage systems, image encryption is a popular strategy adopted to ensure the safety of medical images against unauthorized access. In this work, we propose a lightweight cryptosystem based on Henon chaotic map, Brownian motion, and Chen’s chaotic system to encrypt medical images with elevated security. The efficiency of the proposed system is proved in terms of histogram analysis, adjacent pixels correlation analysis, contrast analysis, homogeneity analysis, energy analysis, NIST analysis, mean square error, information entropy, number of pixels changing rate, unified average changing intensity, peak to signal noise ratio and time complexity. The experimental results show that the proposed cryptosystem is a lightweight approach that can achieve the desired security level for encrypting confidential image-based patients’ information.

当涉及医疗保健系统时，医学图像在诊断中具有重要的意义。这些图像包含机密和敏感信息，例如患者的X射线，超声，计算机断层扫描，大脑图像和磁共振成像。但是，通信通道的安全性低下以及医院或医疗中心存储系统中的漏洞，使这些图像面临被未经授权的用户访问的风险，这些未经授权的用户出于非诊断目的非法利用它们。除了提高通信通道和存储系统的安全性之外，图像加密是一种流行的策略，可以确保医疗图像的安全性，防止未经授权的访问。在这项工作中，我们提出了一种基于Henon混沌图，布朗运动，和Chen的混沌系统，可以以更高的安全性加密医学图像。从直方图分析，相邻像素相关性分析，对比度分析，均匀性分析，能量分析，NIST分析，均方误差，信息熵，像素变化率，统一平均变化强度，峰值等方面证明了所提出系统的效率。信号噪声比和时间复杂度。实验结果表明，所提出的密码系统是一种轻量级的方法，可以实现对基于机密图像的患者信息进行加密所需的安全级别。信息熵，像素变化率数量，统一的平均变化强度，峰信噪比和时间复杂度。实验结果表明，所提出的密码系统是一种轻量级的方法，可以实现对基于机密图像的患者信息进行加密所需的安全级别。信息熵，像素变化率数量，统一的平均变化强度，峰信噪比和时间复杂度。实验结果表明，所提出的密码系统是一种轻量级的方法，可以实现对基于机密图像的患者信息进行加密所需的安全级别。