The in-house health monitoring sensors form a large network of Internet of things (IoT) that continuously monitors and sends the data to the nearby devices or server. However, the connectivity of these IoT-based sensors with different entities leads to security loopholes wherein the adversary can exploit the vulnerabilities due to the openness of the data. This is a major concern especially in the healthcare sector where the change in data values from sensors can change the course of diagnosis which can cause severe health issues. Therefore, in order to prevent the data tempering and preserve the privacy of patients, we present a decoupled blockchain-based approach in the edge-envisioned ecosystem. This approach leverages the nearby edge devices to create the decoupled blocks in blockchain so as to securely transmit the healthcare data from sensors to the edge nodes. The edge nodes then transmit and store the data at the cloud using the incremental tensor-based scheme. This helps to reduce the data duplication of the huge amount of data transmitted in the large IoT healthcare network. The results show the effectiveness of the proposed approach in terms of the block preparation time, header generation time, tensor reduction ratio, and approximation error.

中文翻译：

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一种用于边缘设想的基于物联网的医疗保健监控的解耦区块链方法

内部健康监测传感器形成一个大型物联网 (IoT) 网络，持续监测并将数据发送到附近的设备或服务器。然而，这些基于物联网的传感器与不同实体的连接会导致安全漏洞，由于数据的开放性，攻击者可以利用这些漏洞。这是一个主要问题，尤其是在医疗保健领域，传感器数据值的变化可能会改变诊断过程，从而导致严重的健康问题。因此，为了防止数据篡改并保护患者的隐私，我们在边缘设想的生态系统中提出了一种基于区块链的解耦方法。这种方法利用附近的边缘设备在区块链中创建解耦块，以便将医疗数据从传感器安全地传输到边缘节点。然后边缘节点使用基于增量张量的方案在云中传输和存储数据。这有助于减少在大型物联网医疗保健网络中传输的大量数据的数据重复。结果表明所提出的方法在块准备时间、头生成时间、张量减少率和近似误差方面的有效性。