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  • imc22posters_paper73

    Rights statement: © ACM, 2022. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in IMC 2022 - Proceedings of the 2022 ACM Internet Measurement Conference http://doi.acm.org/10.1145/3517745.3563025

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Understanding the confounding factors of inter-domain routing modeling

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
Publication date25/10/2022
Host publicationIMC 2022 - Proceedings of the 2022 ACM Internet Measurement Conference
Place of PublicationNew York
PublisherACM
Pages758-759
Number of pages2
ISBN (electronic)9781450392594
<mark>Original language</mark>English

Publication series

NameProceedings of the 22nd ACM Internet Measurement Conference
PublisherACM

Abstract

The Border Gateway Protocol (BGP) is a policy-based protocol, which enables Autonomous Systems (ASes) to independently define their routing policies with little or no global coordination. AS-level topology and AS-level paths inference have been long-standing problems for the past two decades, yet, an important question remains open: "which elements of Internet routing affect the AS-path inference accuracy and how much do they contribute to the error?". In this work, we: (1) identify the confounding factors behind Internet routing modeling, and (2) quantify their contribution on the inference error. Our results indicate that by solving the first-hop inference problem, we can increase the exact-path score from 33.6% to 84.1%, and, by taking geolocation into consideration, we can refine the accuracy up to 94.6%.

Bibliographic note

© ACM, 2022. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in IMC 2022 - Proceedings of the 2022 ACM Internet Measurement Conference http://doi.acm.org/10.1145/3517745.3563025