Collaborative Research: IMR: MM-1C: Methods for Active Measurement of the Domain Name System

合作研究：IMR：MM-1C：域名系统主动测量方法

• 批准号: 2319367
• 负责人: Paul Barford
• 金额: $ 19.5万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2319367&HistoricalAwards=false
• 关键词: Collaborative; Research; IMR; MM; 1C

This project will investigate techniques for measuring the contents of the Domain Name System (DNS) toward the goal of producing a comprehensive census of all record types. The project will focus on developing methods for generating domain names that will be used in queries of the global DNS. Strategies for name generation that will be considered include making use of underutilized data sources and machine learning techniques including Large Language Models. New metrics and a system called EverDNS will be developed to evaluate the effectiveness of the name generation methods by sending high-speed queries to the DNS from different Internet vantage points.The first component of this project will investigate techniques for assembling the largest-feasible collection of domain names that will be used as targets to query the global DNS. The second component will assess these techniques by developing EverDNS, which will include a prototype data collector and a centralized controller. EverDNS will build on state-of-the-art DNS measurement tools and augment their methods to capture the greatest amount of information within a limited measurement budget. This project will deliver new insights about how to assemble a comprehensive census of the DNS and new data sets for research that will be made available to the community.The techniques created by this project will enable generation of data sets that will advance scientific understanding of the DNS. It is expected that the insights gained through this research will enable methods for ensuring a more robust, manageable, and better performing DNS. Given the critical role of DNS in the Internet, this project has the potential to positively impact society as a whole. New materials for networking and data science courses will be developed as a direct result of this project. Research results will be disseminated by publishing in respected academic conferences and workshops, and all software and data artifacts will be made available to the community.The project webpage will be hosted at https://everdns.github.io The webpage will include an overview of the project, project participants, updates on latest results and publications. It will also include all software and data artifacts developed during the project. The webpage and associated repositories will be available on github on an on-going basis after the conclusion 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.

该项目将研究用于测量域名系统（DNS）内容的技术，以实现所有记录类型的全面普查。该项目将着重于开发用于生成全局DNS查询中使用的域名的方法。将考虑的名称生成策略包括利用未充分利用的数据源和机器学习技术，包括大语言模型。通过将高速查询从不同的Internet Vantage上发送给DNS，将开发出新的指标和称为Everdns的系统来评估名称生成方法的有效性。该项目的第一个组成部分将调查用于组装最大最大域名集合的技术，这些技术将用作Query Global DNS的目标。第二个组件将通过开发EverDN来评估这些技术，其中包括原型数据收集器和集中式控制器。 Everdns将建立在最先进的DNS测量工具的基础上，并增加其方法以捕获有限测量预算中最大信息的方法。该项目将提供有关如何组装DNS的全面人口普查以及将为社区提供的新数据集的新见解。该项目创建的技术将能够生成一系列数据集，以提高对DNS的科学理解。可以预期，通过这项研究获得的见解将实现确保更健壮，可管理和更好地执行的DNS的方法。鉴于DNS在互联网中的关键作用，该项目有可能积极影响整个社会。该项目的直接结果将开发用于网络和数据科学课程的新材料。研究结果将通过在受人尊敬的学术会议和研讨会上发布来传播，并且所有软件和数据工件将提供给社区。项目网页将托管在https://everdns.github.io上，网页将包括项目参与者的概述，项目参与者，最新结果和出版物。它还将包括项目期间开发的所有软件和数据工件。该项目结束后，该网页和相关存储库将在GitHub上持续提供。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响审查标准，认为值得通过评估来获得支持。