IMR: MM-1C: Effective Geolocation of Internet Hosts
IMR: MM-1C: Effective Geolocation of Internet Hosts
批准号:
2219736
负责人:
Michael Rabinovich
金额:
$59.92万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-10-01 至 2025-09-30
中文摘要
这个项目解决了从互联网地址确定互联网主机的地理位置的问题(“地理位置问题”)。地理定位是计算机网络中的一个基本问题,它影响着互联网运行、研究和发展的许多方面。不幸的是,大量证据表明,现有的地理定位服务容易出现错误和不准确,尤其是在映射内容提供商平台时。除了对依赖地理定位的应用程序的明显影响之外,这些不准确性破坏了利用地理定位的任何研究的严谨性。本研究将开发新的技术,以提高地理定位的效率和准确性,并利用这些技术系统地评估有影响力的现有地理定位服务的准确性。地理定位通常涉及测量从一组“地标”(具有已知位置的主机)到地理定位目标的网络延迟。通过对不同的目标进行不同的选择,从大量的候选对象中选择少量的地标,该项目试图打破这样的困境:大量的地标需要更高的精度,但由于高测量量而导致可扩展性限制。通过开发一种新的地理定位方法,评估其新功能是否可以为大部分互联网主机提供可证明的正确地理定位,并评估现有地理定位服务的准确性,这项活动将提高我们在互联网主机地理定位领域的知识,这是影响互联网发展许多方面的网络基本问题。通过对依赖于地理定位的任何应用和研究都有好处,推动互联网主机地理定位技术的发展具有广泛的影响。在某种程度上,它将表明可证明的地理位置是可行的,这个项目将改变依赖地理位置的网络研究的方式,允许对主机位置进行严格的推理。包含活动测量的数据集,以及在该项目过程中产生的软件工件,将公开提供。该项目将大大加强中央计算机研究大学的本科和研究生教育,并促进其不断努力扩大人口中代表性不足的群体参与计算机科学。项目产生的所有数据(需要时匿名)和相关软件工件将通过项目网站http://engr.case.edu/rabinovich_michael/geolocation提供。内容本身将存储在外部公共存储库中,如github (github.com)和OSF (OSF . net)。Io),而项目网站将提供内容的链接以及其描述。这将在项目完成后至少保留5年。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。
英文摘要
This project tackles the problem of determining the geographic location of Internet hosts from their Internet addresses (the “geolocation problem”). Geolocation is a fundamental problem in computer networking that affects numerous aspects of Internet operation, research, and development. Unfortunately, ample evidence shows that existing geolocation services are prone to errors and inaccuracies, especially when it comes to mapping content provider platforms. Beyond the obvious impact on applications relying on geolocation, these inaccuracies undermine the rigor of any research that utilizes geolocation. This research will develop novel techniques that improve the efficiency and accuracy of geolocation and leverage these techniques to systematically assess the accuracy of influential existing geolocation services. Geolocation commonly involves measuring network delays from a set of “landmarks” (the hosts with known locations) to the geolocation target. By selecting – differently for different targets -- a small number of landmarks from a large pool of candidates, this project attempts to break the dilemma where a large number of landmarks is desired for higher accuracy but leads to scalability limits due to high measurement volumes. Through developing a new geolocation methodology, assessing if its new capabilities could make provably correct geolocation feasible for a substantial fraction of Internet hosts, and evaluating the accuracy of existing geolocation services, this activity will advance our knowledge in the area of Internet host geolocation, a fundamental problem in networking affecting numerous aspects of Internet development.Advancing the state of the art in Internet host geolocation has broad impact through benefiting any applications and research that relies on geolocation. To the extent that it will show that provable geolocation is practical, this project will transform how networking research relying on geolocation is done, by allowing rigorous reasoning about host locations. Datasets containing active measurements, as well as software artifacts, produced in the course of this project will be made publicly available. The project will significantly enhance undergraduate and graduate education at CWRU and facilitate its ongoing efforts in broadening participation of underrepresented sections of the population in computer science.All the data (anonymized when needed) and relevant software artifacts the project produces will be made available through the project website at http://engr.case.edu/rabinovich_michael/geolocation. The content itself will be stored at external public repositories such as github (github.com) and OSF (osf.io), while the project website will provide links to the content along with its description. This will be kept available for at least 5 years after the project completion.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.
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会议论文
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