基于聚类的安全分级虚拟网络映射方法

Safe hierarchical virtual network mapping method based on clustering

基于5G网络环境,提出了一种基于K-means聚类的安全分级虚拟网络映射方法,特别涉及一种对节点安全分级的思想,结合K-menas聚类算法,解决当下虚拟网络映射存在的低安全性、低映射效率等关键问题,与传统方法相比,所提方法提高了虚拟节点映射的效率,增强了网络韧性。

Based on the 5G network environment,a security hierarchical virtual network mapping method based on K-means clustering was proposed.In particular,the idea of node security classification and the combination of K-menas clustering algorithm was involved to solve the key problems of low security and low mapping efficiency existing in current virtual network mapping.Compared with traditional methods,this research method improves the efficiency of virtual node mapping and enhances the network resilience.