通过分析互联网背景辐射,深入了解应用系统级别的中断情况

K. Benson, A. Dainotti, K. Claffy, E. Aben
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引用次数: 4

摘要

Internet背景辐射(IBR)是一种未经请求的网络流量,主要由恶意软件(如蠕虫、扫描)产生。在之前的工作中,我们从IBR流量中提取了一个信号,该信号到达一个大(/8)段未分配的IPv4地址空间,以识别自治系统(AS)粒度的大规模连接中断,并使用我们的技术来研究政府审查和自然灾害的事件[1]。本文探讨了国际复兴开发银行衍生的其他指标,这些指标可能有助于深入了解宏观连通性中断的原因。我们提出了指示数据包丢失的指标(例如,由于链路拥塞)沿着从特定AS到我们观察点的路径。我们使用三个案例研究来说明我们的指标如何帮助识别停机的数据包丢失特征。这些指标可用于半自动系统的诊断组件,用于检测和描述大规模停机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gaining insight into AS-level outages through analysis of Internet background radiation
Internet Background Radiation (IBR) is unsolicited network traffic mostly generated by malicious software, e.g., worms, scans. In previous work, we extracted a signal from IBR traffic arriving at a large (/8) segment of unassigned IPv4 address space to identify large-scale disruptions of connectivity at an Autonomous System (AS) granularity, and used our technique to study episodes of government censorship and natural disasters [1]. Here we explore other IBR-derived metrics that may provide insights into the causes of macroscopic connectivity disruptions. We propose metrics indicating packet loss (e.g., due to link congestion) along a path from a specific AS to our observation point. We use three case studies to illustrate how our metrics can help identify packet loss characteristics of an outage. These metrics could be used in the diagnostic component of a semiautomated system for detecting and characterizing large-scale outages.
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