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Alias Resolution Based on ICMP Rate Limiting

  • Kevin Vermeulen
  • , Burim Ljuma
  • , Vamsi Addanki
  • , Matthieu Gouel
  • , Olivier Fourmaux
  • , Timur Friedman
  • , Reza Rejaie
  • Sorbonne Université
  • University of Oregon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

Alias resolution techniques (e.g., Midar) associate, mostly through active measurement, a set of IP addresses as belonging to a common router. These techniques rely on distinct router features that can serve as a signature. Their applicability is affected by router support of the features and the robustness of the signature. This paper presents a new alias resolution tool called Limited Ltd. that exploits ICMP rate limiting, a feature that is increasingly supported by modern routers that has not previously been used for alias resolution. It sends ICMP probes toward target interfaces in order to trigger rate limiting, extracting features from the probe reply loss traces. It uses a machine learning classifier to designate pairs of interfaces as aliases. We describe the details of the algorithm used by Limited Ltd. and illustrate its feasibility and accuracy. Limited Ltd. not only is the first tool that can perform alias resolution on IPv6 routers that do not generate monotonically increasing fragmentation IDs (e.g., Juniper routers) but it also complements the state-of-the-art techniques for IPv4 alias resolution. All of our code and the collected dataset are publicly available.

Original languageEnglish
Title of host publicationPassive and Active Measurement - 21st International Conference, PAM 2020, Proceedings
EditorsAnna Sperotto, Alberto Dainotti, Burkhard Stiller
PublisherSpringer
Pages231-248
Number of pages18
ISBN (Print)9783030440800
DOIs
Publication statusPublished - 1 Jan 2020
Event21st International Conference on Passive and Active Measurement, PAM 2020 - Eugene, United States
Duration: 30 Mar 202031 Mar 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12048 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Passive and Active Measurement, PAM 2020
Country/TerritoryUnited States
CityEugene
Period30/03/2031/03/20

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