网络安全增强网络元模型及其应用

Xinli Xiong, Liang Guo, Yunfeng Zhang, Jingye Zhang
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引用次数: 0

摘要

在本文中,我们扩展了传统的图模型,使其包含网络空间中的安全信息。提出了一种既包含典型网元又包含安全信息的网络元模型。给出了网络中节点、边缘、结构和路径的详细定义,以从宏观和微观的角度呈现安全元素。同时,人工智能驱动的渗透测试和路由网络中的级联故障这两个引人注目的案例研究表明,我们的模型在解决网络空间安全的前沿问题方面占据主导地位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cyber-Security Enhanced Network Meta-Model and its Application
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.
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