Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Publication date | 2015 |
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Host publication | Passive and Active Measurement: 16th International Conference, PAM 2015, New York, NY, USA, March 19-20, 2015, Proceedings |
Editors | Jelena Mirkovic, Yong Liu |
Place of Publication | Berlin |
Publisher | Springer |
Pages | 111-122 |
Number of pages | 12 |
ISBN (electronic) | 9783319155098 |
ISBN (print) | 9783319155081 |
<mark>Original language</mark> | English |
Event | 16th International Conference on Passive and Active Measurement, PAM 2015 - New York, United States Duration: 19/03/2015 → 20/03/2015 |
Conference | 16th International Conference on Passive and Active Measurement, PAM 2015 |
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Country/Territory | United States |
City | New York |
Period | 19/03/15 → 20/03/15 |
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Publisher | Springer |
Volume | 8995 |
ISSN (Print) | 0302-9743 |
ISSN (electronic) | 1611-3349 |
Conference | 16th International Conference on Passive and Active Measurement, PAM 2015 |
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Country/Territory | United States |
City | New York |
Period | 19/03/15 → 20/03/15 |
There is increasing evidence that IPv6 deployment is maturing as a response to the exhaustion of unallocated IPv4 address blocks, leading to gradual convergence of the IPv4 and IPv6 topologies in terms of structure and routing paths. However, the lack of a fully-connected transit-free clique in IPv6, as well as a different economic evolution than IPv4, implies that existing IPv4 AS relationship algorithms will not accurately infer relationships between autonomous systems in IPv6, encumbering our ability to model and understand IPv6 AS topology evolution. We modify CAIDA’s IPv4 relationship inference algorithm to accurately infer IPv6 relationships using publicly available BGP data. We validate 24.9% of our 41,589 c2p and p2p inferences for July 2014 to have a 99.3% and 94.5% PPV, respectively. Using these inferred relationships, we analyze the BGP-observed IPv4 and IPv6 AS topologies, and find that ASes are converging toward the same relationship types in IPv4 and IPv6, but disparities remain due to differences in the transit-free clique and the influence of Hurricane Electric in IPv6.