TTP: Medium: Detection and Analysis of Large-Scale Internet Infrastructure Outages

TTP：中：大规模互联网基础设施中断的检测和分析

• 批准号: 1228994
• 负责人: Alberto Dainotti
• 金额: $ 120万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1228994&HistoricalAwards=false
• 关键词: TTP; Medium; Detection; Analysis; Large

Despite the Internet's status as critical infrastructure, there is little scientific instrumentation dedicated to monitoring global Internet behavior. In particular, we have no rigorous framework for measuring, analyzing, or quantifying the impact of network outages, filtering, or other abnormal connectivity dynamics on a global scale.This project applies successful research results in analyzing recent macroscopic Internet connectivity disruptions to the development, testing, and experimental deployment of an operational capability to detect, monitor, and characterize such large-scale infrastructure outages. The investigators are seeking to validate and extend a methodology for identifying not only which networks have been affected by an outage, but also which mechanisms have been used to effect a deliberate disruption. The two intellectual themes of the research are: (1) extracting signal from malware-induced background radiation in Internet traffic (IBR); and (2) combining multiple types of data (active probing, passive IBR, routing data, geolocation, and registry databases) to delineate the scope and progression of the outage. The project will also develop quantitative indicators to gauge the impact of geophysical disasters on Internet infrastructure, including the dynamics of loss and restoration of service. A transition of these research outcomes into practice will yield a system specification, implementation, and experimental operational deployment to detect and monitor global connectivity failures on a planetary scale. In addition to improving our understanding of how measurements yield insights into network behavior, and strengthening our ability to model large scale complex networks, such a system will illuminate infrastructure vulnerabilities that derive from architectural, topological, or economic constraints, suggesting how to mitigate or eliminate these weaknesses in future Internet architecture and measurement research.

尽管互联网是关键基础设施，但几乎没有专门用于监测全球互联网行为的科学仪器。特别是，我们没有严格的框架来衡量，分析，或量化的影响，网络中断，过滤，或其他异常的连接动态在全球范围内。本项目应用成功的研究成果，分析最近宏观互联网连接中断的发展，测试和实验部署的操作能力，以检测，监测和表征这种大规模的基础设施中断。 调查人员正在寻求验证和扩展一种方法，不仅可以确定哪些网络受到了中断的影响，还可以确定哪些机制被用来实现故意中断。 该研究的两个智力主题是：（1）从互联网流量（IBR）中的恶意软件诱导的背景辐射中提取信号;（2）结合多种类型的数据（主动探测，被动IBR，路由数据，地理位置和注册表数据库）来描述中断的范围和进展。 该项目还将制定量化指标，以衡量地球物理灾害对互联网基础设施的影响，包括服务损失和恢复的动态。 这些研究成果转化为实践将产生一个系统规范，实施和实验操作部署，以检测和监测全球范围内的全球连接故障。 除了提高我们对测量如何产生对网络行为的洞察力的理解，并加强我们对大规模复杂网络建模的能力之外，这样的系统还将阐明来自架构，拓扑或经济约束的基础设施漏洞，并建议如何在未来的互联网架构和测量研究中减轻或消除这些弱点。