基于 MOAS 事件特征的 BGP 前缀劫持检测算法

Kaiyu Chen
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引用次数: 0

摘要

边界网关协议(BGP)是互联网标准的域间路由协议,已成为互联网的重要基础设施。由于初始设计的局限性,BGP 前缀劫持是一种亟待解决的 BGP 安全问题。本文提出了一种基于多源AS(MOAS)事件特征的BGP前缀劫持检测算法,从BGP数据包中发现并还原MOAS事件,并根据不同观测点观测到的源AS随时间的变化建立MOAS事件矩阵。根据 MOAS 事件矩阵,从事件的整体概率和观测点的本地可见性角度计算事件的特征值。最后,将 MOAS 事件的特征值与异常事件阈值进行比较,判断该事件是否为异常事件,进而发现 BGP 前缀劫持。与基于源 AS 有效性的前缀劫持检测算法相比,该算法的检测结果具有更高的准确性。根据事件本身的特征检测前缀劫持,这种方法更实用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BGP prefix hijack detection algorithm based on MOAS event feature
Border Gateway Protocol (BGP) is the Internet standard inter-domain routing protocol, has become an important infrastructure of the Internet. Due to the limitation of the initial design, BGP prefix hijacking is a kind of BGP security problem that needs to be solved urgently. This paper proposes a BGP prefix hijack detection algorithm based on Multiple Origin AS (MOAS) event feature, discovering and restoring MOAS events from BGP packets, and creating an event matrix for MOAS events based on the changes of source AS observed from different observation points over time. According to the MOAS event matrix, the eigenvalue of the event is calculated from the perspective of the overall probability of the event and the local visibility of the observation point. Finally, the characteristic value of the MOAS event is compared with the exception event threshold to determine whether the event is an exception event, and then the BGP prefix hijacking is found. Compared with the prefix hijacking detection algorithm based on source AS validity, the detection results of this algorithm have higher accuracy. This method is more practical in detecting prefix hijacking according to the characteristics of the event itself.
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