An Organization-Level View of the Internet and its Implications (Extended). Cai, X., Heidemann, J., Krishnamurthy, B., & Willinger, W. Technical Report ISI-TR-2009-679, USC/Information Sciences Institute, June, 2012. ![An Organization-Level View of the Internet and its Implications (Extended) [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex We present a new clustering approach for mapping ASes to organizations, to develop an \emphorganization-level view of the Internet's AS ecosystem. We demonstrate that the choice of clustering method and use of a new (though unconventional) data source in the form of company subsidiary information contained in the U.S. SEC%7eForm 10-K filings are both essential to get accurate results. Evaluating our mapping and validating it against carefully chosen datasets shows few (less than 10%) false negatives for 90% of organizations and few false positives for 60% of our organizations. We apply our map to show the importance of an organization-level view of the Internet by contrasting it with the commonly-used view that considers only an organization's ``main'' AS. We find that this main-AS view sometimes severely under-represents the influence of an organization in terms of announced addresses, geographic footprint, and peerings at Internet eXchange Points (IXPs). For example, for 20% of our organizations, the main-AS view detects only 10–60% of the cities covered by the corresponding organization-level view.
@TechReport{Cai12b,
author = "Xue Cai and John Heidemann and Balachander Krishnamurthy and Walter Willinger",
title = "An Organization-Level View of the {Internet} and its Implications (Extended)",
institution = "USC/Information Sciences Institute",
year = 2012,
sortdate = "2012-06-01",
project = "ant, amite, lacrend, lander",
jsubject = "topology_modeling",
number = "ISI-TR-2009-679",
month = jun,
jlocation = "johnh: pafile",
keywords = "as-to-org mapping, internet topology",
copyrightholder = "author",
url = "https://ant.isi.edu/%7ejohnh/PAPERS/Cai12b.html",
pdfurl = "https://ant.isi.edu/%7ejohnh/PAPERS/Cai12b.pdf",
otherurl = "ftp://ftp.isi.edu/isi-pubs/tr-679.pdf",
myorganization = "USC/Information Sciences Institute",
abstract = "We present a new clustering approach for mapping ASes to
organizations, to develop an \emph{organization}-level view of the
Internet's AS ecosystem. We demonstrate that the choice of clustering
method and use of a new (though unconventional) data source in the
form of company subsidiary information contained in the U.S. SEC%7eForm
10-K filings are both essential to get accurate results. Evaluating
our mapping and validating it against carefully chosen datasets shows
few (less than 10\%) false negatives for 90\% of organizations and few
false positives for 60\% of our organizations. We apply our map to
show the importance of an organization-level view of the Internet by
contrasting it with the commonly-used view that considers only an
organization's ``main'' AS. We find that this main-AS view sometimes
severely under-represents the influence of an organization in terms of
announced addresses, geographic footprint, and peerings at Internet
eXchange Points (IXPs). For example, for 20\% of our organizations,
the main-AS view detects only 10--60\% of the cities covered by the
corresponding organization-level view.",
}
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