B5G-enabled healthcare systems interconnect a wide range of Internet of Medical Things (IoMT) using supportive networks such as heterogeneous networks and cognitive radio networks to enhance the medical infrastructure. In healthcare, IoMT integrates access technologies, computing infrastructure, and services to connect healthcare systems to handle intensive computation without sharing private data. As a result, healthcare systems accessing a massive IoMT (mIoMT) utilize real-time data sharing to enhance the overall resource efficiency of remote patient monitoring. To optimize the IoT-generated data, the application interface of the computing device regulates self-management messaging systems with healthcare providers. By utilizing direct communication with the networks, they offer a long-lasting service, enhancing the performance trade-off. Since the network has more of a digital existence in the physical universe, a convergence of cloud-server integration with IoT inherently causes more security challenges to preserving the privacy of edge computing systems. Therefore, in this paper, we present privacy preserving based seamless authentication with provable key verification (PPSA-PKV) for securing B5G-enabled healthcare systems. To preserve the identities of the registered users, the proposed PPSA-PKV applies a collision-free cryptographic hash function and elliptic-curve arithmetic. Security analyses including formal and informal show high-level privacy protection for the proposed PPSA-PKV with seamless verification compared to other state-of-the-art approaches. The simulation analysis shows that the proposed PPSA-PKV incurs less delay ( $\approx \text{0.14}\; sec$ ) and improves throughput ( $\approx 1865 bits$ ) to fulfill the energy efficiency (at an average 0.294 J) of B5G networks. Lastly, a learning model using a support vector machine (SVM) demonstrates the monitoring process of edge data centers to detect malicious authentication requests.

中文翻译：

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基于无缝身份验证和使用 mIoMT 进行可证明密钥验证的隐私保护，适用于支持 B5G 的医疗保健系统


支持 B5G 的医疗保健系统使用异构网络和认知无线电网络等支持网络将广泛的医疗物联网 (IoMT) 互连，以增强医疗基础设施。在医疗保健领域，物联网集成了接入技术、计算基础设施和服务，以连接医疗保健系统来处理密集计算，而无需共享私人数据。因此，访问大规模物联网 (mIoMT) 的医疗保健系统利用实时数据共享来提高远程患者监控的整体资源效率。为了优化物联网生成的数据，计算设备的应用程序接口与医疗保健提供者一起调节自我管理消息系统。通过利用与网络的直接通信，它们提供持久的服务，增强性能权衡。由于网络在物理世界中更多地以数字形式存在，云服务器与物联网的融合本质上会给保护边缘计算系统的隐私带来更多的安全挑战。因此，在本文中，我们提出了基于隐私保护的无缝身份验证和可证明密钥验证 (PPSA-PKV)，以保护支持 B5G 的医疗保健系统。为了保护注册用户的身份，所提出的 PPSA-PKV 应用了无冲突加密哈希函数和椭圆曲线算法。包括正式和非正式的安全分析表明，与其他最先进的方法相比，所提出的 PPSA-PKV 具有高水平的隐私保护和无缝验证。仿真分析表明，所提出的 PPSA-PKV 会产生更少的延迟（ $\approx \text{0.14}\; sec$ ）并提高吞吐量（ $\approx 1865 位$ ）来满足能源效率（平均为 0.294 J) B5G 网络。最后，使用支持向量机（SVM）的学习模型演示了边缘数据中心检测恶意身份验证请求的监控过程。