With technological advancements, the Internet of Things (IoT) is becoming a significant method to achieve remote healthcare monitoring, where secure and efficient medical data retrieval is crucial. However, IoT devices have limited resources, so it is hard to achieve secure and efficient medical data acquisition. Edge devices in an edge cloud can offer abundant resources, whereas the Named Data Networking (NDN) can improve data retrieval efficiency. Therefore, we are motivated to combine IoT with Edge cloud (IE) and exploit NDN to achieve IE-based medical data retrieval. Inspired by the idea, we propose a secure healthcare monitoring framework integrating NDN-based IoT with edge cloud. This framework exploits the advantages of NDN to improve efficiency of medical data retrieval, and employs ciphertext and signature to support security of medical data delivery. The framework is evaluated quantitatively. According to the data results, the framework reduces the medical data retrieval latency and cost by nearly 28% and 52% compared with the existing solution, respectively.

随着技术的进步，物联网（IoT）成为实现远程医疗保健监视的重要方法，而安全有效的医疗数据检索至关重要。但是，物联网设备资源有限，因此很难实现安全高效的医疗数据采集。边缘云中的边缘设备可以提供大量资源，而命名数据网络（NDN）可以提高数据检索效率。因此，我们有动力将物联网与边缘云（IE）结合起来，并利用NDN来实现基于IE的医学数据检索。受此想法的启发，我们提出了一个安全的医疗监控框架，将基于NDN的物联网与边缘云集成在一起。该框架利用NDN的优势来提高医疗数据检索的效率，并采用密文和签名来支持医疗数据传输的安全性。对该框架进行定量评估。根据数据结果，与现有解决方案相比，该框架将医疗数据检索延迟和成本分别降低了近28％和52％。