Cyber-Security Enhanced Network Meta-Model and its Application
Xinli Xiong, Liang Guo, Yunfeng Zhang, Jing‐ye Zhang · 2022
In this paper, we expand the traditional graph model to include security information in cyberspace. And a meta-model in networks that contain both typical network elements and security information is proposed. Detailed definitions of nodes, edges, structures, and paths in a network are given to present security elements from both macroscopic and microcosmic perspectives. Meanwhile, two remarkable case studies, AI-driven penetration testing and cascading failures in routing networks are shown to demonstrate that our model is prevailing in solving frontier issues of security in cyberspace.