| 摘要: |
| 在如今的互联网中,网络管理员要想及时地发现前缀劫持事件非常困难.考虑到互联网域间路由系统中存在的自治特性,提出了在多个自治系统之间协作监测前缀的思想,并由此设计了一个实时检测前缀劫持的新方法——Co-Monitor机制.在Co-Monitor中,每个参与者与其他参与者交换自定义的前缀-源自治系统映射信息,同时,利用所学到的前缀-源自治系统映射信息实时地监测本地BGP(border gateway protocol)路由更新.一旦某个参与者发现了不一致就立刻通知相关的参与者,从而可帮助参与者及时、有效地发现前缀劫持.给出了Co-Monitor机制的详细设计,评估了该机制的检测能力,并讨论了几个相关的问题.实验结果表明,只需精心选择60个参与者,就可确保Co-Monitor系统检测前缀劫持的漏检率和误检率都为0%. |
| 关键词: 边界网关协议 自治系统 前缀劫持 宣告方验证 协作监测 |
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| 基金项目:Supported by the National Natural Science Foundation of China Grant Nos.60873214, 60433040 (国家自然科学基金); the National High-Tech Research and Development Plan of China under Grant Nos.2006AA01Z213, 2006AA01Z332 (国家高技术研究发展计划(863)); the Research Foundation for Ph.D. Candidates of National University of Defense Technology of China under Grant No.B070603 (国防科学技术大学博士研究生创新资助) |
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| Co-Monitor: Collaborative Monitoring Mechanism for Detecting Prefix Hijacks |
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LIU Xin,ZHU Pei-Dong,PENG Yu-Xing
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| Abstract: |
| In today’s Internet, it is very difficult for network operators to discover prefix hijacks in time. Considering the autonomous characteristic of the Internet inter-domain routing system, this paper provides the idea of collaborative monitoring among multiple Autonomous Systems (ASes). This paper also examines the design of a new method, named Co-Monitor that detects prefix hijacks in real-time. In Co-Monitor, every participant AS exchanges self-defined prefix-to-origin mapping information with the others, and they monitor local BGP (border gateway protocol) updates respectively. Once some participant discovers that the origin of information of a BGP route is inconsistent with the learned prefix-to-origin mapping information, it notifies relative participants immediately; thereby, Co-Monitor can help participants detect prefix hijacks quickly and effectively. This paper presents the detailed design of Co-Monitor, evaluates its detecting capabilities, and also discusses several related problems. The experimental results show that Co-Monitor, with only selected 60 participants, is accurate with 0% false negative ratio and 0% false positive ratio. |
| Key words: BGP autonomous system prefix hijacking source verification collaborative monitoring |