Internet of Things (IoT) applications are among the major trends of nowadays. Billions of connected devices are creating great business profits and performing a multitude of automated tasks in many daily human activities. In healthcare service delivery, IoT capabilities are difficult to overestimate, they are progressively becoming entangled and commonly coined Internet of Medical Things (IoMT). The participating nodes in IoMT networks generate, collect and exchange huge amounts of extremely private and sensitive data. Numerous security vulnerabilities arise due to the complexity and the heterogeneity of the technology. New risks, born out of IoMT systems, cannot easily be supported by existing risk management frameworks. The existing cyber-security risk assessment methods and approaches, deployed in several organizations, will not address the IoMT inherent risks properly. This study includes a comprehensive review of IoMT systems. Popular risk assessment methods are discussed and their suitability to IoMT is dealt with in detail. Based on this study, we propose a framework to enhance trust and help with decision making in e-healthcare environments given its high-risk exposure. The proposal is based on a quantified risk assessment approach. Our aim is to define a novel approach/model for improving trust and risk management in an e-health context.

物联网 (IoT) 应用是当今的主要趋势之一。数十亿台联网设备正在创造巨大的商业利润，并在许多日常人类活动中执行大量自动化任务。在医疗保健服务交付中，物联网的能力很难被高估，它们正逐渐变得纠缠不清，并被普遍称为医疗物联网 (IoMT)。IoMT 网络中的参与节点生成、收集和交换大量极其私密和敏感的数据。由于技术的复杂性和异构性，会出现许多安全漏洞。源自物联网系统的新风险无法轻易地得到现有风险管理框架的支持。现有的网络安全风险评估方法和方法，部署在多个组织中，将无法正确解决 IoMT 固有风险。这项研究包括对 IoMT 系统的全面审查。讨论了流行的风险评估方法，并详细讨论了它们对 IoMT 的适用性。基于这项研究，鉴于电子医疗保健环境的高风险暴露，我们提出了一个框架来增强信任并帮助做出决策。该提案基于量化的风险评估方法。我们的目标是定义一种新的方法/模型，以改善电子卫生环境中的信任和风险管理。鉴于电子医疗保健环境的高风险暴露，我们提出了一个框架来增强信任并帮助做出决策。该提案基于量化的风险评估方法。我们的目标是定义一种新的方法/模型，以改善电子卫生环境中的信任和风险管理。鉴于电子医疗保健环境的高风险暴露，我们提出了一个框架来增强信任并帮助做出决策。该提案基于量化的风险评估方法。我们的目标是定义一种新的方法/模型，以改善电子卫生环境中的信任和风险管理。