CFM-RFM: A Cascading Failure Model for Inter-Domain Routing Systems with the Recovery Feedback Mechanism

Author:

Zhao WendianORCID,Wang YongjieORCID,Xiong Xinli,Li Yang

Abstract

With the increase and diversification of network users, the scale of the inter-domain routing system is becoming larger and larger. Cascading failure analysis and modeling are of great significance to improve the security of inter-domain routing networks. To solve the problem that the propagation principle of cascading failure does not conform to reality, a Cascading Failure Model for inter-domain routing systems with the Recovery Feedback Mechanism (CFM-RFM) is proposed in this paper. CFM-RFM comprehensively considers the main factors that cause cascading failure. Based on two types of update message propagation mechanism and traffic redistribution, it simulates the cascading failure process. We found that under the action of the recovery feedback mechanism, the cascading failure process was accelerated, and the network did not quickly return to normal, but was rather quickly and extensively paralyzed. The average attack cost can be reduced by 38.1% when the network suffers the same damage.

Publisher

MDPI AG

Subject

Information Systems

Reference25 articles.

1. A Survey of BGP Security Issues and Solutions

2. Study on BGP Security

3. Why Is It Taking So Long to Secure Internet Routing?

4. BGP Security Vulnerabilities Analysishttps://datatracker.ietf.org/doc/rfc4272

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. KNI-DRL: Key Nodes Identification Method Based on Deep Reinforcement Learning in Inter-domain Routing Networks;2024 9th International Conference on Computer and Communication Systems (ICCCS);2024-04-19

2. Reinforcement Learning based Attack Timing Optimization in Inter-domain Networks;2023 9th International Conference on Big Data Computing and Communications (BigCom);2023-08-04

3. An approach to generate damage strategies for inter-domain routing systems based on multi-objective optimization;Mathematical Biosciences and Engineering;2023

4. NIE-GAT: node importance evaluation method for inter-domain routing network based on graph attention network;Journal of Computational Science;2022-11

5. Cyber-Security Enhanced Network Meta-Model and its Application;2022 6th International Conference on Cryptography, Security and Privacy (CSP);2022-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3