Mughal Muhammad Arif, Ullah Ata, Yu Xinbo, He Wei, Jhanjhi N Z, Ray Sayan Kumar
School of Intelligence Science and Technology, University of Science and Technology Beijing, Beijing 100083, China.
Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China.
Heliyon. 2024 Feb 28;10(7):e27177. doi: 10.1016/j.heliyon.2024.e27177. eCollection 2024 Apr 15.
The Internet of Things (IoT) is a network of intelligent devices especially in healthcare-based systems. Internet of Medical Things (IoMT) uses wearable sensors to collect data and transmit to central repositories. The security and privacy of healthcare data is a challenging task. The aim of the study is to provide a secure data sharing mechanism. The existing studies provide secure data sharing schemes but still have limitations in terms of hiding the patient identify in the messages exchanged to upload the data on central repositories. This paper presents a Secure Aggregated Data Collection and Transmission (SADCT) that provides anonymity for the identities of patient's mobile device and the intermediate fog nodes. Our system involves an authenticated server for node registration and authentication by saving security credentials. The proposed scheme presents the novel data aggregation algorithm at the mobile device, and the data extraction algorithm at the fog node. The work is validated through extensive simulations in NS along with a security analysis. Results prove the supremacy of SADCT in terms of energy consumption, storage, communication, and computational costs.
物联网（IoT）是一个智能设备网络，尤其应用于基于医疗保健的系统中。医疗物联网（IoMT）使用可穿戴传感器收集数据并传输到中央存储库。医疗保健数据的安全和隐私是一项具有挑战性的任务。本研究的目的是提供一种安全的数据共享机制。现有研究提供了安全的数据共享方案，但在将数据上传到中央存储库时所交换的消息中隐藏患者身份方面仍存在局限性。本文提出了一种安全聚合数据收集与传输（SADCT）方法，该方法为患者移动设备和中间雾节点的身份提供匿名性。我们的系统涉及一个经过认证的服务器，用于通过保存安全凭证进行节点注册和认证。所提出的方案在移动设备上呈现了新颖的数据聚合算法，在雾节点上呈现了数据提取算法。通过在NS中进行的广泛模拟以及安全分析对该工作进行了验证。结果证明了SADCT在能耗、存储、通信和计算成本方面的优越性。
