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Authors: Zi-yu Yang ; Xiao-yun Wang ; Hong-mei Ma and Li Qin

Affiliation: China Defense Science and Technology Information Center, China

Keyword(s): Organization Discovery, Social Network, IP Allocations, Routing Registry.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Clustering and Classification Methods ; Data Analytics ; Data Engineering ; Foundations of Knowledge Discovery in Databases ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

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.

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Paper citation in several formats:
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 (IC3K 2015) - KDIR; ISBN 978-989-758-158-8; ISSN 2184-3228, SciTePress, pages 344-349. DOI: 10.5220/0005613003440349

@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 (IC3K 2015) - KDIR},
year={2015},
pages={344-349},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005613003440349},
isbn={978-989-758-158-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR
TI - A Structural Model of Internet Organization Discovery
SN - 978-989-758-158-8
IS - 2184-3228
AU - Yang, Z.
AU - Wang, X.
AU - Ma, H.
AU - Qin, L.
PY - 2015
SP - 344
EP - 349
DO - 10.5220/0005613003440349
PB - SciTePress

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