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

本项目将研究衡量域名系统（DNS）内容的技术，以实现对所有记录类型进行全面普查的目标。该项目将侧重于开发生成域名的方法，这些域名将用于查询全球DNS。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，包括大型语言模型。将开发新的指标和一个名为EverDNS的系统，通过从不同的互联网Vantage位置向DNS发送高速查询来评估名称生成方法的有效性。该项目的第一部分将研究收集最大可行域名的技术，这些域名将用作查询全球DNS的目标。第二部分将通过开发EverDNS来评估这些技术，EverDNS将包括一个原型数据收集器和一个集中控制器。EverDNS将建立在最先进的DNS测量工具的基础上，并增强其方法，以在有限的测量预算内捕获最大数量的信息。该项目将提供有关如何收集DNS的全面普查的新见解，以及将提供给社区的新数据集。该项目创建的技术将能够生成数据集，从而促进对DNS的科学理解。预计通过这项研究获得的见解将有助于确保更强大，可管理和性能更好的DNS。鉴于DNS在互联网中的关键作用，该项目有可能对整个社会产生积极影响。作为该项目的直接成果，将开发网络和数据科学课程的新材料。研究成果将通过在学术会议和研讨会上发表的方式传播，所有软件和数据工件将向社区提供。项目网页将托管在https://everdns.github.io该网页将包括项目概述，项目参与者，最新成果和出版物的更新。它还将包括项目期间开发的所有软件和数据工件。该网页和相关的存储库将在项目结束后持续在github上提供。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.