Evaluation of Security Situation of Communication Network Nodes Based on Grey Correlation Model

Abstract

In order to improve the security of low-latency cluster dispatching communication network nodes, this paper proposes a security situation assessment method of low-latency cluster dispatching communication network nodes based on grey relational model. The security situation assessment model of low-delay cluster scheduling communication network nodes is constructed, and the comprehensive risk index is introduced as the three-layer assessment index of low-delay cluster scheduling communication network nodes. Based on the analysis of load loss probability and expected response characteristics of insufficient packet loss load in communication transmission, the reliability index calculation system of low-delay cluster scheduling communication network node scheduling is established. By introducing expected load reduction parameters, the frequency characteristics of node scheduling security in low-delay cluster scheduling communication network are monitored. Based on the average sustained risk index evaluation of load reduction, the security permission conditions of node scheduling in low-delay cluster scheduling communication network are established. The network transmission load control is carried out by using grey correlation scheduling model. The node control model of low-delay cluster scheduling communication network is constructed by combining risk assessment and load parameter detection. The learning control of node security situation assessment is realized by using Cyber-net and unsupervised learning methods. The node security situation assessment of low-delay cluster scheduling communication network nodes is realized through access and decentralized scheduling. Tests show that this method has high accuracy in evaluating the security situation of nodes in low-delay cluster dispatching communication networks, and has strong completeness and reliability in grid-connected control of communication networks.