A Structural Model of Internet Organization Discovery

Zi-yu Yang, Xiao-yun Wang, Hong-mei Ma, Li Qin

2015

Abstract

This paper presents a highly structured model to automatically discover Internet organizations from the data of RIR (Regional Internet Registry) and IRR (Internet Routing Registry), where network operators register their networking resources such as IP addresses and routing policies. Our basic idea is to discover network operators that have close ties among each other from those registry activities, and consider them as being from the same organization. With the data from two RIRs, this model produces to date the first organization level network of current Internet. The model shows its reasonability in our validation with real Internet routing data, and is likely to be applied extensively in networking area.

References

  1. Siganos, G., Faloutsos, M., 2007. Neighborhood watch for Internet Routing: Can we improve the robustness of Internet Routing today?. In INFOCOM'07, 26th IEEE Annual Conference on Computer Communications. IEEE Press.
  2. Cai, X., Heidemann, J., Krishnamurthy, B., Willinger, W., 2010. Towards an AS-to-organization map. In ACM IMC'10, 10th Annual Conference on Internet Measurement. ACM Press.
  3. Blondel, V. D., Guillaume, J.L., Lambiotte, R., Lefebvre, E., 2008. Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment.
  4. RFC2622, 1999. Routing Policy Specification Language (RPSL). IETF rfc.
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Paper Citation


in Harvard Style

Yang Z., Wang X., Ma H. and Qin L. (2015). A Structural Model of Internet Organization Discovery . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015) ISBN 978-989-758-158-8, pages 344-349. DOI: 10.5220/0005613003440349


in Bibtex Style

@conference{kdir15,
author={Zi-yu Yang and Xiao-yun Wang and Hong-mei Ma and Li Qin},
title={A Structural Model of Internet Organization Discovery},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)},
year={2015},
pages={344-349},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005613003440349},
isbn={978-989-758-158-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)
TI - A Structural Model of Internet Organization Discovery
SN - 978-989-758-158-8
AU - Yang Z.
AU - Wang X.
AU - Ma H.
AU - Qin L.
PY - 2015
SP - 344
EP - 349
DO - 10.5220/0005613003440349