Collaborative Research: NeTS: Medium: Large Scale Analysis of Configurations and Management Practices in the Domain Name System

合作研究：NetS：中型：域名系统配置和管理实践的大规模分析

• 批准号: 2312710
• 负责人: Joel Sommers
• 金额: $ 15万
• 依托单位: Colgate University
• 依托单位国家: 美国
• 项目类别: Standard 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=2312710&HistoricalAwards=false
• 关键词: Collaborative; Research; NeTS; Medium; Large

This project will build a broad and fundamental body of knowledge on the characteristics of configurations and management practices used in the operation of the Internet’s Domain Name System (DNS). Large public datasets will be used to analyze and statistically model the DNS contents. Graph-based analysis will be used to characterize and quantify activities performed by registrars and domain operators. Tools will be developed for the research community to support machine learning applications for the DNS, anomaly detection in the DNS, and a “DNS Workbench” enabling synthetic DNS workload generation for simulation and laboratory-based research on DNS configuration, management and performance.This project consists of two complementary components. The scientific component will focus on empirical characterization of the DNS as a whole and in parts by developing and applying techniques from graph theory, statistics and machine learning. The engineering component will use findings from the empirical analysis to identify operational practices, to inform investigation of tools and to drive new insights about how the DNS is used in practice. The project will deliver new insights about how the DNS can be improved as well as new tools for deriving and replicating those insights.This project will contribute a deeper understanding of what is usual, and what is unusual, with respect to the contents of the DNS. New techniques and findings from this project will lead to a more robust, manageable, and better performing DNS, which has potential to positively impact society as a whole. New materials for networking and data science courses will be developed based on our research. The students who work on the project will receive guidance and mentorship. 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://macro-dns.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.

该项目将建立有关互联网域名系统（DNS）运行中使用的配置和管理实践的广泛而基础的知识体系，大型公共数据集将用于分析 DNS 内容并对其进行统计建模。基于分析的分析将用于描述和量化注册商和域名运营商执行的活动。将为研究社区开发工具，以支持 DNS 的机器学习应用、DNS 中的异常检测以及支持合成 DNS 工作负载的“DNS 工作台”。一代为DNS 配置、管理和性能的模拟和基于实验室的研究。该项目由两个互补的部分组成，科学部分将通过开发和应用图论、统计学和部分技术来重点研究 DNS 的整体和部分实证特征。工程部分将利用实证分析的结果来确定操作实践，为工具调查提供信息，并推动有关如何在实践中使用 DNS 的新见解。该项目将提供有关如何改进 DNS 的新见解。以及用于导出和复制这些见解的新工具。这个项目将有助于更深入地了解 DNS 内容的常见情况和异常情况，该项目的新技术和发现将导致更强大、更易于管理且性能更好的 DNS，这有可能产生积极的影响。将根据我们的研究开发网络和数据科学课程的新材料，研究成果将通过在受人尊敬的学术会议和研讨会上发表来传播。所有软件和数据工件都将提供给该项目网页将托管在 https://macro-dns.github.io 该网页将包括项目概述、项目参与者、最新结果和出版物的更新，它还将包括开发的所有软件和数据工件。该网页和相关存储库将在项目结束后持续在 github 上提供。该奖项符合 NSF 的法定使命，并且通过使用基金会的智力价值和更广泛的影响进行评估，被认为值得支持。审查标准。