论文标题
一种智能信任云管理方法,用于在5G中安全聚类启用启用医疗互联网
An Intelligent Trust Cloud Management Method for Secure Clustering in 5G enabled Internet of Medical Things
论文作者
论文摘要
5G边缘计算启用医疗互联网(IOMT)是一种提供分散医疗服务的高效技术,而设备到设备(D2D)通信是未来5G网络的有希望的范式。为了确保5G边缘计算中的安全可靠的通信和启用D2D的IOMT系统,本文介绍了一种智能的信任云管理方法。首先,提出了一种积极的培训机制来构建标准信任云。其次,可以通过推断和推荐来建立IOMT设备的个人信任云。第三,提出了信任分类方案,以确定IOMT设备是否恶意。最后,提出了一种信任云更新机制,以使所提出的信任管理方法在开放的无线介质下自适应和智能。仿真结果表明,所提出的方法可以有效解决信任不确定性问题并提高恶意设备的检测准确性。
5G edge computing enabled Internet of Medical Things (IoMT) is an efficient technology to provide decentralized medical services while Device-to-device (D2D) communication is a promising paradigm for future 5G networks. To assure secure and reliable communication in 5G edge computing and D2D enabled IoMT systems, this paper presents an intelligent trust cloud management method. Firstly, an active training mechanism is proposed to construct the standard trust clouds. Secondly, individual trust clouds of the IoMT devices can be established through fuzzy trust inferring and recommending. Thirdly, a trust classification scheme is proposed to determine whether an IoMT device is malicious. Finally, a trust cloud update mechanism is presented to make the proposed trust management method adaptive and intelligent under an open wireless medium. Simulation results demonstrate that the proposed method can effectively address the trust uncertainty issue and improve the detection accuracy of malicious devices.