电力泛在物联网网关安全接入节点辨识模型构建

Construction of Identification Model of Security Access Node for Power Ubiquitous Internet of Things Gateway

在电力泛在物联网网关安全接入节点辨识过程中,由于节点信任度计算结果不准确,导致整体查准率下降,因此构建了一种电力泛在物联网网关安全接入节点辨识模型。利用感知技术采集物联网网关安全接入节点信息,根据采集到的信息对节点信任度进行计算,并汇总成评价列表,结合节点安全等级构建虚拟安全域。在此基础上构建网关接入节点控制模型,将接入节点进行二次扫描与控制,结合节点信任度计算结果完成电力泛在物联网网关安全接入节点辨识。仿真实验结果表明,与传统模型相比,在同样参数条件、节点规模增大、恶意节点规模增大的情况下,文章设计模型的安全接入节点查准率均较高,验证了该模型的优越性。

In the process of power ubiquitous Internet of Things gateway security access node identification,due to the inaccuracy of node trust calculation results,the overall precision is reduced.Therefore,a power ubiquitous Internet of Things gateway security access node identification model is constructed.The security access node information of the Internet of Things gateway is collected by using the sensing technology.The trust degree of the node is calculated according to the collected information,and the evaluation list is summarized.The virtual security domain is constructed based on the node security level.Based on this,the gateway access node control model is constructed,and the access node is scanned and controlled twice.The power ubiquitous gateway security access node identification is completed based on the calculation results of the node trust.The simulation results show that,compared with the traditional model,the security access node precision rate of the model is higher under the same parameter conditions,the size of nodes and the scale of malicious nodes.