Cyber-Security Enhanced Network Meta-Model and its Application

Xinli Xiong, Liang Guo, Yunfeng Zhang, Jingye Zhang
{"title":"Cyber-Security Enhanced Network Meta-Model and its Application","authors":"Xinli Xiong, Liang Guo, Yunfeng Zhang, Jingye Zhang","doi":"10.1109/CSP55486.2022.00023","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":187713,"journal":{"name":"2022 6th International Conference on Cryptography, Security and Privacy (CSP)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 6th International Conference on Cryptography, Security and Privacy (CSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSP55486.2022.00023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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.
网络安全增强网络元模型及其应用
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。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信