信息网络安全 ›› 2025, Vol. 25 ›› Issue (7): 1044-1052.doi: 10.3969/j.issn.1671-1122.2025.07.004

• 理论研究 • 上一篇    下一篇

基于路由时间介数的域间路由传播特征分析方法

刘宇靖1, 王致林2(), 李鹏飞1, 王成孝1   

  1. 1.国防科技大学计算机学院,长沙 410073
    2.国防科技大学军事职业教育技术服务中心,长沙 410073
  • 收稿日期:2024-05-20 出版日期:2025-07-10 发布日期:2025-08-07
  • 通讯作者: 王致林 E-mail:wangzhilin@nudt.edu.cn
  • 作者简介:刘宇靖(1985—),女,山东,副研究员,博士,CCF会员,主要研究方向为网络路由安全|王致林(1983—),男,山东,高级工程师,硕士,主要研究方向为网络安全|李鹏飞(2000—),男,安徽,硕士研究生,主要研究方向为网络路由安全|王成孝(1996—),男,湖南,工程师,本科,主要研究方向为网络安全
  • 基金资助:
    国家重点研发计划(2022YFB3104800)

Analysis Method of Inter-Domain Routing Propagation Characteristics Based on Routing Temporal Betweenness

LIU Yujing1, WANG Zhilin2(), LI Pengfei1, WANG Chengxiao1   

  1. 1. College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China
    2. Technical Service Center for Professional Education, National University of Defense Technology, Changsha 410073, China
  • Received:2024-05-20 Online:2025-07-10 Published:2025-08-07
  • Contact: WANG Zhilin E-mail:wangzhilin@nudt.edu.cn

摘要:

互联网域间路由系统的安全性与可靠性对保障网络空间安全至关重要,准确分析域间路由的传播特征不仅有助于掌握路由传播的正常状态,还是检测网络路由异常事件的基础,同时也是对当前路由安全增强机制的有力补充。文章提出一种基于路由时间介数的域间路由传播特征分析方法,通过定义自治系统的路由时间介数,刻画自治系统转发特定数据流量的时长占比情况,从而全面反映路由消息在网络中的传播过程与状态特征。从时间维度看,该方法能够建立域间路由系统的正常状态基线;从空间维度看,该方法可以确定与目标网络相关的关键自治系统信息。基于互联网公开的海量域间路由数据与拓扑数据,针对KlaySwap前缀劫持事件、Angola Cables路由泄露事件以及前缀归属变化事件,进行路由传播特征研究,为前缀劫持与路由泄露的异常检测提供了有力支撑。

关键词: 路由安全, 域间路由系统, 路由时间介数, 传播特征

Abstract:

The security and reliability of the inter-domain routing system of the Internet are of great significance for cybersecurity. Understanding the propagation patterns of inter-domain routing is crucial for detecting abnormal network routing events and enhancing routing security measures. The article proposed an analysis method of inter-domain routing propagation characteristics based on routing temporal betweenness. By defining the routing time betweenness centrality of autonomous systems, the proportion of time autonomous system forwards specific data traffic was characterized, thus comprehensively reflecting the propagation process and state characteristics of routing messages in the network. From a temporal perspective, this method could establish a normal baseline for inter domain routing systems. From a spatial perspective, this method could identify key autonomous system information related to the target network. Based on the massive inter domain routing data and topology data publicly available on the Internet, routing propagation characteristics were studied for the KlaySwap prefix hijacking event, the prefix ownership change event and the Angola Cables routing leak event, providing a powerful support for anomaly detection of prefix hijacking and route leakage.

Key words: routing security, inter-domain routing system, routing temporal betweenness, propagation characteristics

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