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dc.contributor.authorMarder, Alexanderen_NZ
dc.contributor.authorLuckie, Matthew Johnen_NZ
dc.contributor.authorDhamdhere, Amoghen_NZ
dc.contributor.authorHuffaker, Bradleyen_NZ
dc.contributor.authorclaffy, kcen_NZ
dc.contributor.authorSmith, Jonathan M.en_NZ
dc.coverage.spatialConference held Boston, MAen_NZ
dc.date.accessioned2018-11-27T03:13:26Z
dc.date.available2018en_NZ
dc.date.available2018-11-27T03:13:26Z
dc.date.issued2018en_NZ
dc.identifier.citationMarder, A., Luckie, M. J., Dhamdhere, A., Huffaker, B., claffy, kc, & Smith, J. M. (2018). Pushing the boundaries with bdrmapIT: mapping router ownership at internet scale. In Proceeding of 2018 Internet Measurement Conference (IMC 2018) (pp. 56–69). New York, NY, USA: ACM. https://doi.org/10.1145/3278532.3278538en
dc.identifier.isbn978-1-4503-5619-0en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/12213
dc.description.abstractTwo complementary approaches to mapping network boundaries from traceroute paths recently emerged [27,31]. Both approaches apply heuristics to inform inferences extracted from traceroute measurement campaigns. bdrmap [27] used targeted traceroutes from a specific network, alias resolution probing techniques, and AS relationship inferences, to infer the boundaries of that specific network and the other networks attached at each boundary. MAPIT [31] tackled the ambitious challenge of inferring all AS-level network boundaries in a massive archived collection of traceroutes launched from many different networks. Both were substantial contributions to the state-of-the-art, and inspired a collaboration to explore the potential to combine the approaches. We present and evaluate bdrmapIT, the result of that exploration, which yielded a more complete, accurate, and general solution to this persistent and central challenge of Internet topology research. bdrmapIT achieves 91.8%-98.8% accuracy when mapping AS boundaries in two Internet-wide traceroute datasets, vastly improving on MAP-IT’s coverage without sacrificing bdrmap’s ability to map a single network. The bdrmapIT source code is available at https://git.io/fAsI0.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherACMen_NZ
dc.rights© 2018 Copyright held by the author(s).
dc.sourceIMC 2018en_NZ
dc.subjectcomputer scienceen_NZ
dc.titlePushing the boundaries with bdrmapIT: mapping router ownership at internet scaleen_NZ
dc.typeConference Contribution
dc.identifier.doi10.1145/3278532.3278538en_NZ
dc.relation.isPartOfProceeding of 2018 Internet Measurement Conference (IMC 2018)en_NZ
pubs.begin-page56
pubs.elements-id229924
pubs.end-page69
pubs.finish-date2018-11-02en_NZ
pubs.place-of-publicationNew York, NY, USAen_NZ
pubs.start-date2018-10-31en_NZ


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