IMR: MT: Tools for Safe, Easy, and Reliable Active Global Internet Measurement

IMR：MT：用于安全、简单和可靠的主动全球互联网测量的工具

• 批准号: 2223360
• 负责人: Zakir Durumeric
• 金额: $ 60万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2223360&HistoricalAwards=false
• 关键词: IMR; MT; Tools; Safe; Easy

It is difficult to predict Internet behavior due the complexity and distributed nature of the Internet. For example, it is hard to know whether proposed Internet protocols will work when deployed. As a result, researchers turn to large-scale, measurement of real-world systems to understand how the Internet is structured, how protocols operate, and where there are security and performance failures. This proposal improves a core set of measurement tools that researchers use for performing large-scale measurement of Internet hosts, websites, names, cloud assets to prevent common measurement errors, support recently introduced protocols, and account for real-world deployment complexities.This proposal will specifically make improvements to the ZMap suite of active measurement tools, including to (1) automatically detect error conditions and prevent erroneous data, (2) adapt tools to accommodate recently introduced network protocols like TLS 1.3, and (3) enable tools to find and accommodate services that appear in unpredictable locations. The challenge in these tasks lays in the fact that: (1) because there is no ground truth against which to compare results, tools need to intelligently determine whether results have become unstable and to alter their behavior while maintaining data consistency, (2) must operate with exceptional performance to accommodate the size of Internet-wide studies, and (3) must produce and structure data that researchers can use when research tasks are not known ahead of time.The impact of this project lies in the research that it will enable. ZMap has been used in many research publications over the past few years, but research has uncovered several shortcomings and error conditions that can produce inconsistent data. The Internet has also evolved over this time period, which requires software changes to accommodate. The improvements will help make ZMap accessible to additional researchers, ensure that researchers with less Internet measurement experience can reliably collect valid results, enable the study of recently introduced protocols, and enable researchers to use the suite of tools as part of broader measurement platforms.The ZMap tools are documented and available for download at https://zmap.io. Any auxiliary datasets produced will be published at https://scans.io. ZMap is planned to be maintained for the foreseeable future.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.

由于互联网的复杂性和分布性质，很难预测互联网行为。例如，很难知道在部署时提出的Internet协议是否会起作用。结果，研究人员转向大规模的测量现实系统，以了解互联网的结构，协议的运作方式以及何处存在安全性和性能失败。 This proposal improves a core set of measurement tools that researchers use for performing large-scale measurement of Internet hosts, websites, names, cloud assets to prevent common measurement errors, support recently introduced protocols, and account for real-world deployment complexities.This proposal will specifically make improvements to the ZMap suite of active measurement tools, including to (1) automatically detect error conditions and prevent erroneous data, (2) adapt tools为了容纳最近引入的网络协议，例如TLS 1.3，（3）启用工具来查找和容纳在不可预测的位置出现的服务。这些任务中的挑战是：（1）由于没有比较结果的基本真理，因此工具需要明智地确定结果是否已经变得不稳定并在保持数据一致性的同时改变其行为，（2）必须在互联网范围内的研究范围内运作，以适应范围范围的研究的规模，并且（3）必须在研究过程中产生和结构的数据，而在研究过程中，研究人员在启动的过程中都无法实现这一目标。在过去的几年中，ZMAP已在许多研究出版物中使用，但是研究发现了几个缺点和错误条件，这些条件可能会产生不一致的数据。互联网也在这段时间内进化，这需要软件更改才能适应。这些改进将有助于使ZMAP访问其他研究人员，确保具有较少互联网测量经验的研究人员可以可靠地收集有效的结果，使最近引入的协议进行研究，并使研究人员能够使用工具套件作为更广泛的测量平台的一部分。ZMAP工具的记录并可在HTTPS://zmap.io上下载。生产的任何辅助数据集将在https://scans.io上发布。 ZMAP计划在可预见的未来进行维护。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响审查标准来评估值得支持的。