Measuring and characterizing IPv6 router availability

Robert Beverly, Matthew Luckie, Lorenza Mosley, Kc Claffy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations


We consider the problem of inferring IPv6 router uninterrupted system availability, or uptime, from a remote vantage point without privileged access. Uptime inference is important to broader efforts to measure and characterize the availability of critical infrastructure, provides insight into network operations, and has subtle security implications. Our approach utilizes active probes to periodically elicit IPv6 fragment identifiers from IPv6 router interfaces, and analyzes the resulting identifier time series for reboots. We demonstrate the approach’s potential by characterizing 21,539 distinct IPv6 router interfaces over a five-month period. We find evidence of clustered reboot events, popular maintenance windows, and correlation with globally visible control plane data. Our results, validated by five ASes, provide initial insight into the current state of IPv6 router availability.

Original languageEnglish (US)
Title of host publicationPassive and Active Measurement - 16th International Conference, PAM 2015, Proceedings
EditorsYong Liu, Jelena Mirkovic
PublisherSpringer Verlag
Number of pages13
ISBN (Electronic)9783319155081
StatePublished - 2015
Event16th International Conference on Passive and Active Measurement, PAM 2015 - New York, United States
Duration: Mar 19 2015Mar 20 2015

Publication series

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


Other16th International Conference on Passive and Active Measurement, PAM 2015
Country/TerritoryUnited States
CityNew York

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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