Research on Visual Analysis of Network Topology Based on Geometric Constraints

Abstract

Large-scale networks have the characteristics of complex topological structure, difficult to display internal characteristics clearly, and different temporal and spatial connection patterns, which makes analysis tasks extremely complicated. Therefore, detecting the structural characteristics of large-scale networks is an important means of cyberspace security situation awareness. However, current related research mainly studies specific analysis tasks from a micro perspective, and it is difficult to provide an overall cyberspace security situation awareness from a macro perspective.. In this paper, driven by the demand for situational awareness in the field of cyberspace security, with traffic monitoring data in network connection activities as the research object, this paper studies rendering technology of large-scale network topology, and gives the analysis methods of the macroscopic and microscopic perspectives of the cyberspace situation.