loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 74.48.170.251

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: [email protected]

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic