Daisy:大型BGP/MPLS和BGP/SRv6 VPN网络中的实用异常检测

Alex Huang Feng, Pierre François, S. Frénot, T. Graf, Wan-Ling Du, P. Lucente
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引用次数: 0

摘要

我们提出了一种架构,旨在大规模地执行BGP/MPLS VPN服务的异常检测。我们描述了在现代大型BGP/MPLS VPN和BGP/IPv6段路由VPN部署中与实时异常检测相关的挑战。我们描述了大规模收集必要路由信息所需的体系结构。我们讨论了可用于检测异常的各种维度,以及影响此类异常检测和网络建模难度的现实世界的警告。我们认为,为每种客户类型定义的基于规则的异常检测方法最适合当前的技术状态。最后,我们回顾了当前的IETF贡献,这些贡献需要从一个完全开放的、标准的体系结构中受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Daisy: Practical Anomaly Detection in large BGP/MPLS and BGP/SRv6 VPN Networks
We present an architecture aimed at performing Anomaly Detection for BGP/MPLS VPN services, at scale. We describe the challenges associated with real time anomaly detection in modern, large BGP/MPLS VPN and BGP/IPv6 Segment Routing VPN deployments. We describe an architecture required to collect the necessary routing information at scale. We discuss the various dimensions which can be used to detect anomalies, and the caveats of the real world impacting the level of difficulty of such anomaly detection and network modeling. We argue that a rule-based anomaly detection approach, defined for each customer type, is best suited given the current state of the art. Finally, we review the current IETF contributions which are required to benefit from a fully open, standard, architecture.
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