Inferring Geography from BGP Raw Data (Contributo in atti di convegno)

Type

• Contributo in atti di convegno (Classe)
• Prodotto della ricerca (Classe)

Label

• Inferring Geography from BGP Raw Data (Contributo in atti di convegno) (literal)

Anno

• 2012-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1109/INFCOMW.2012.6193493 (literal)

Alternative label

• Gregori Enrico, Improta Alessandro, Lenzini Luciano, Rossi Lorenzo, Sani Luca (2012)
  Inferring Geography from BGP Raw Data
  in 2012 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2012, Orlando, FL; United States, 25 March 2012 through 30 March 2012
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Gregori Enrico, Improta Alessandro, Lenzini Luciano, Rossi Lorenzo, Sani Luca (literal)

Pagina inizio

• 208 (literal)

Pagina fine

• 213 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni

• cnr.iit/2012-A2-015 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6193493 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

• Computer Communications Workshops (INFOCOM WKSHPS), 2012 IEEE Conference on (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 6 (literal)

Note

• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR-IIT, Pisa, italy; CNR-IIT, Pisa, italy; Dipartimento di Ingegneria dell'Informazione, Università di Pisa, italy; CNR-IIT, Pisa, italy; IMT Lucca, Italy (literal)

Titolo

• Inferring Geography from BGP Raw Data (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 978-1-4673-1016-1 (literal)

Abstract

• Research to date has analyzed the Internet AS-level topology at a worldwide level of detail. Every inference found for an AS is extrapolated from the global set of AS paths gathered from public monitors, independently of the geographic location of the ASes. This approach is useful when the Internet is analyzed at a very coarse level. However, it may be misleading if the analysis is more focused on a specific geographical region. The risk is that the particular characteristics that the Internet has in that region may be lost. An AS connection that has been identified in a global analysis may hide multiple connections located in different geographic regions, each with its own characteristics. Moreover, a couple of ASes may establish different economic relationships in each geographic region where they are connected. In this paper we propose an innovative technique to geolocate the AS connections retrieved from BGP raw data, in order to highlight the Internet regional characteristics. The analyses that we performed revealed some regional characteristics, in terms of graph properties and inter-AS economic relationships, that should be taken into account in a future analysis of the Internet. © 2012 IEEE (literal)

Editore

• IEEE, Institute of electrical and electronics engineers (Editore)

Prodotto di

• Istituto di informatica e telematica (IIT) (Istituto)
• Ubiquitous Internet (INT.P01.001.001) (Modulo)

Autore CNR

• ENRICO GREGORI (Unità di personale interno)
• ALESSANDRO IMPROTA (Persona)
• LORENZO ROSSI (Unità di personale interno)

Insieme di parole chiave

• Keywords of "Inferring Geography from BGP Raw Data" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di informatica e telematica (IIT) (Istituto)
• Ubiquitous Internet (INT.P01.001.001) (Modulo)

Autore CNR di

• ENRICO GREGORI (Unità di personale interno)
• LORENZO ROSSI (Unità di personale interno)
• ALESSANDRO IMPROTA (Persona)

Editore di

• IEEE, Institute of electrical and electronics engineers (Editore)

Insieme di parole chiave di

• Keywords of "Inferring Geography from BGP Raw Data" (Insieme di parole chiave)