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Poster: GeoResolver, An Accurate, Scalable, and Explainable Geolocation Technique Using DNS Redirection

Published: 09 December 2024 Publication History

Abstract

Obtaining an accurate, explainable, Internet-scale IP geolocation dataset has been a longstanding goal of the research community. Despite decades of research on IP geolocation, no current technique can provide such a dataset. In particular, latency-based geolocation techniques do not scale, because, on one hand, we have thousands of available vantage points to perform measurements, but on the other hand, we have no way to select the right ones for each IP address. In this paper, we present GeoResolver, an efficient vantage point selection methodology, based on the assumption that two IP addresses that share a similar DNS redirection are likely to be geographically close together. GeoResolver performs nearly as well as a brute force approach using all the vantage points, geolocating 94% of the targets that could actually be geolocated at metro level by using all the vantage points, while using 4.3% of the probing budget compared to a state-of-the-art technique. We carefully design GeoResolver to be both accurate and scalable and with our implementation, we start a large-scale geolocation campaign.

References

[1]
Omar Darwich, Hugo Rimlinger, Milo Dreyfus, Matthieu Gouel, and Kevin Vermeulen. 2023. Replication: Towards a Publicly Available Internet scale IP Geolocation Dataset. In Proc. ACM IMC.
[2]
Ashley Flavel, Pradeepkumar Mani, David Maltz, Nick Holt, Jie Liu, Yingying Chen, and Oleg Surmachev. 2015. FastRoute: A Scalable Load-Aware Anycast Routing Architecture for Modern CDNs. In Proc. USENIX NSDI.
[3]
Manaf Gharaibeh, Anant Shah, Bradley Huffaker, Han Zhang, Roya Ensafi, and Christos Papadopoulos. 2017. A look at router geolocation in public and commercial databases. In Proc. ACM IMC.
[4]
Zi Hu, John Heidemann, and Yuri Pradkin. 2012. Towards geolocation of millions of IP addresses. In Proc. ACM IMC.
[5]
Kyle Schomp, Onkar Bhardwaj, Eymen Kurdoglu, Mashooq Muhaimen, and Ramesh K Sitaraman. 2020. Akamai dns: Providing authoritative answers to the world's queries. In Proceedings of the Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication.

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  1. Poster: GeoResolver, An Accurate, Scalable, and Explainable Geolocation Technique Using DNS Redirection

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    Published In

    cover image ACM Conferences
    CoNEXT '24: Proceedings of the 20th International Conference on emerging Networking EXperiments and Technologies
    December 2024
    80 pages
    ISBN:9798400711084
    DOI:10.1145/3680121
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 09 December 2024

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    Author Tags

    1. internet scale geolocation
    2. ip addresses geolocation
    3. ipv4

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    Overall Acceptance Rate 198 of 789 submissions, 25%

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