Towards an AS-to-Organization Map

Cai, Xue and Heidemann, John and Krishnamurthy, Balachander and Willinger, Walter
USC/Information Sciences Institute

citation

Xue Cai, John Heidemann, Balachander Krishnamurthy and Walter Willinger 2010. Towards an AS-to-Organization Map. Proceedings of the ACM Internet Measurement Conference (Melbourne, Australia, Nov. 2010), 199–205. [DOI] [PDF]

abstract

An understanding of Internet topology is central to answer various questions ranging from network resilience to peer selection or data center location. While much of prior work has examined AS-level connectivity, meaningful and relevant results from such an abstract view of Internet topology have been limited. For one, semantically, AS relationships capture business relationships and not physical connectivity. Additionally, many organizations often use multiple ASes, either to implement different routing policies, or as legacies from mergers and acquisitions. In this paper, we move beyond the traditional AS graph view of the Internet to define the problem of AS-to-organization mapping. We describe our initial steps at automating the capture of the rich semantics inherent in the AS-level ecosystem where routing and connectivity intersect with organizations. We discuss preliminary methods that identify multi-AS organizations from WHOIS data and illustrate the challenges posed by the quality of the available data and the complexity of real-world organizational relationships.

reference

@inproceedings{Cai10c,
  author = {Cai, Xue and Heidemann, John and Krishnamurthy, Balachander and Willinger, Walter},
  title = {Towards an {AS}-to-{Organization} Map},
  booktitle = {Proceedings of the ACM Internet Measurement Conference},
  year = {2010},
  sortdate = {2010-11-01},
  project = {ant, amite},
  jsubject = {topology_modeling},
  pages = {199--205},
  address = {Melbourne, Australia},
  month = nov,
  publisher = {ACM},
  jlocation = {johnh: pafile},
  keywords = {AS to organization mapping,
  		internet topology, network topology, AS topology},
  doi = {http://dx.doi.org/10.1145/1879141.1879166},
  url = {https://ant.isi.edu/%7ejohnh/PAPERS/Cai10c.html},
  pdfurl = {https://ant.isi.edu/%7ejohnh/PAPERS/Cai10c.pdf},
  myorganization = {USC/Information Sciences Institute},
  copyrightholder = {ACM},
  copyrightterms = {
  	Permission to make digital or hard
   	copies of portions of this work for personal or
   	classroom use is granted without fee provided that
   	the copies are not made or distributed for profit or
   	commercial advantage and that copies bear this
   	notice and the full citation on the first page in
   	print or the first screen in digital
   	media. Copyrights for components of this work owned
   	by others than ACM must be honored. Abstracting with
   	credit is permitted. 
   	otherwise, to republish, to post on servers, or to
   	redistribute to lists, requires prior specific
   	permission and/or a fee. Send written requests for
   	republication to ACM Publications, Copyright &
   	Permissions at the address above or fax +1 (212)
   	869-0481 or email permissions@acm.org.},
  supporting = {The inferred ground truth used in this paper is
                           available on request as dataset \url{USC/LANDER-as_to_org_mapping_inferred_truth-20100507}}
}

copyright

Permission to make digital or hard copies of portions of this work for personal or classroom use is granted without fee provided that the copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page in print or the first screen in digital media. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Send written requests for republication to ACM Publications, Copyright & Permissions at the address above or fax +1 (212) 869-0481 or email permissions@acm.org.