Continuous advancements in medical technology have led to the creation of affordable mobile imaging devices suitable for telemedicine and remote monitoring. However, the rapid examination of large populations poses challenges, including the risk of fraudulent practices by healthcare professionals and social workers exchanging unverified images via mobile applications. To mitigate these risks, this study proposes using watermarking techniques to embed a device fingerprint (DFP) into captured images, ensuring data provenance. The DFP, representing the unique attributes of the capturing device and raw image, is embedded into raw images before storage, thus enabling verification of image authenticity and source. Moreover, a robust remote validation method is introduced to authenticate images, enhancing the integrity of medical image data in interconnected healthcare systems. Through a case study on mobile fundus imaging, the effectiveness of the proposed framework is evaluated in terms of computational efficiency, image quality, security, and trustworthiness. This approach is suitable for a range of applications, including telemedicine, the Internet of Medical Things (IoMT), eHealth, and Medical Cyber-Physical Systems (MCPS) applications, providing a reliable means to maintain data provenance in diagnostic settings utilizing medical images or videos.

翻译：随着医疗技术的持续进步，具备远程医疗与远程监测功能的低成本移动成像设备应运而生。然而面向大规模人群的快速检查带来了诸多挑战，包括医疗专业人员与社会工作者通过移动应用交换未经验证图像可能引发的欺诈风险。为应对这些风险，本研究提出采用水印技术将设备指纹嵌入采集图像中，确保数据溯源能力。设备指纹作为成像设备与原始图像独特属性的表征，在原始图像存储前完成嵌入，从而实现对图像真实性与来源的验证。同时，本文引入了一种稳健的远程验证方法对图像进行鉴真，增强互联医疗系统中医学图像数据的完整性。通过移动眼底成像案例研究，从计算效率、图像质量、安全性与可信度四个维度评估了所提框架的有效性。该方法适用于远程医疗、医疗物联网、电子健康及医疗信息物理系统等多种应用场景，为基于医学图像或视频的诊断场景提供了可靠的数据溯源方案。