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CCRI: Grand: Integrated Laboratory for Advanced Network Data Science (ILANDS)

CCRI：大型：高级网络数据科学综合实验室（ILANDS）

基本信息

批准号：
2120399
负责人：
Kimberly Claffy
金额：
$ 350万
依托单位：
University of California-San Diego
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-10-01 至 2026-09-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2120399&HistoricalAwards=false
关键词：
CCRI Grand Integrated Laboratory Advanced

项目摘要

There is a dearth of suitable data to support Internet infrastructure research, for understandable reasons: complexity, scale, and cost of measurement, processing, and storage instrumentation; privacy, security and commercial sensitivities; and lack of incentives to gather data in the first place. This lack of data hinders researchers' ability to understand and reason about real-world properties of the Internet such as robustness, resilience, security, and stability. In this project, University of California-San Diego's Center for Applied Internet Data Analysis (CAIDA) and University of Oregon's Network Startup Resource Center (NSRC) propose to upgrade and integrate two key Internet measurement capabilities -- 100GB traffic capture and BGP routing data collection -- to enable a community of researchers to collaborate on a focused agenda: understanding the evolving character of the Internet, with the objective of assessing, modeling and shaping its security and resilience.The goal of this project is to create a transformative cyberinfrastructure for the aforementioned two key Internet measurement capabilities that supports collection, curation (including anonymization), archiving, and expanded sharing of data needed to answer critical questions about the Internet as evolving critical infrastructure. This project will enhance infrastructure to sustain increased packet rates and routing table growth, expand storage and compute resources to support long-term use of the data, and develop additional tools to facilitate their combined use. While these two data sources have existed separately in the past, current privacy-protection approaches have prohibited joint analysis across them. Another goal of this effort is to evaluate and deploy approaches to protect privacy that will permit integration of the gathered data, a new capability that is critical to some of the identified research goals.The proposed enhancements to support data acquisition, curation, and privacy-respecting sharing will have an inherent equalizing effect on the community, lowering the barriers to undertaking and validating empirical Internet-related research. The data and outreach activities will enable advances to a broad range of disciplines that now depend on data about the Internet, including network science, socioeconomic studies, international relations, and political science.The project repository will be linked from the proposal and milestones page at: https://caida.org/funding/ccri-ilands at least through the duration of the project.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

缺乏合适的数据来支持互联网基础设施研究，原因是可以理解的：测量、处理和存储仪器的复杂性、规模和成本；隐私、安全和商业敏感性；以及缺乏收集数据的动机。这种数据的缺乏阻碍了研究人员理解和推理互联网的真实属性，如健壮性、弹性、安全性和稳定性。在这个项目中，加州大学圣地亚哥分校的应用互联网数据分析中心(CAIDA)和俄勒冈大学的网络启动资源中心(NSRC)建议升级和集成两个关键的互联网测量能力--100 GB流量捕获和BGP路由数据收集--以使研究人员能够在一个重点议程上进行合作：了解互联网的演变特征，目标是评估、建模和塑造其安全性和弹性。该项目的目标是为上述两个关键互联网测量能力创建一个变革性的网络基础设施，支持收集、管理(包括匿名化)、归档、以及扩大数据共享，以回答有关互联网作为不断发展的关键基础设施的关键问题。该项目将加强基础设施，以维持更高的数据包率和路由表增长，扩大存储和计算资源，以支持数据的长期使用，并开发更多工具，以促进它们的组合使用。虽然这两个数据源过去是分开存在的，但目前的隐私保护方法禁止对它们进行联合分析。这项工作的另一个目标是评估和部署保护隐私的方法，这些方法将允许整合收集的数据，这是一种新的能力，对于某些已确定的研究目标至关重要。拟议的支持数据获取、管理和尊重隐私的共享的增强将对社区产生内在的平等效应，降低开展和验证与互联网相关的经验性研究的门槛。数据和扩展活动将使现在依赖于互联网数据的广泛学科取得进展，包括网络科学、社会经济研究、国际关系和政治学。项目库将从提案和里程碑页面链接到https://caida.org/funding/ccri-ilands，至少在项目持续时间内。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

期刊论文数量（13）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

On the Importance of Being an AS: An Approach to Country-Level AS Rankings

论成为 AS 的重要性：国家级 AS 排名的方法

DOI：
发表时间：
2023
期刊：
ACM Internet Measurement Conference (IMC
影响因子：
0
作者：
Huffaker, Bradley;Fontugne, Romain;Marder, Alexander;claffy, kc
通讯作者：
claffy, kc

Notice of Ex Parte Meeting, Secure Internet Routing

单方会议通知，安全互联网路由

DOI：
发表时间：
2023
期刊：
Federal Communications Commission (FCC
影响因子：
0
作者：
claffy, k.;Clark, D.
通讯作者：
Clark, D.

Coarse-grained Inference of BGP Community Intent

BGP 社区意图的粗粒度推断

DOI：
发表时间：
2023
期刊：
ACM Internet Measurement Conference (IMC
影响因子：
0
作者：
Krenc, Thomas;Luckie, Matthew;Marder, Alexander;claffy, kc
通讯作者：
claffy, kc

A path forward: Improving Internet routing security by enabling trust zones

前进之路：通过启用信任区域来提高互联网路由安全性

DOI：
发表时间：
2023
期刊：
Federal Communications Commission (FCC
影响因子：
0
作者：
Clark, D.;Testart, C.;Luckie, M.;claffy, k.
通讯作者：
claffy, k.

IRRegularities in the Internet Routing Registry

IR 互联网路由注册表中的规则

DOI：
发表时间：
2023
期刊：
ACM Internet Measurement Conference (IMC
影响因子：
0
作者：
Du, Ben;Izhikevich, Katherine;Rao, Sumanth;Akiwate, Gautam;Testart, Cecilia;Snoeren, Alex;claffy, kc
通讯作者：
claffy, kc