Obscure Giants: Detecting the Provider-Free ASes

Internet routing depends on economic relationships between ASes (Autonomous Systems). Despite extensive prior research of these relationships, their characterization remains imprecise. In this paper, we focus on provider-free ASes that reach the entire Internet without paying anyone for the traffic...

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Detalles Bibliográficos
Autores: Hasan, Syed, Gorinsky, Sergey|||0000-0001-9612-8081
Tipo de recurso: informe técnico
Fecha de publicación:2011
País:España
Institución:IMDEA Networks Institute
Repositorio:IMDEA Networks Institute Digital Repository
Idioma:inglés
OAI Identifier:oai:dspace.networks.imdea.org:20.500.12761/1057
Acceso en línea:http://hdl.handle.net/20.500.12761/1057
https://dx.doi.org/TR-IMDEA Networks-2011-3
Access Level:acceso abierto
Palabra clave:Q Science::Q Science (General)
Q Science::QA Mathematics::QA75 Electronic computers. Computer science
T Technology::T Technology (General)
T Technology::TA Engineering (General). Civil engineering (General)
T Technology::TK Electrical engineering. Electronics Nuclear engineering
Descripción
Sumario:Internet routing depends on economic relationships between ASes (Autonomous Systems). Despite extensive prior research of these relationships, their characterization remains imprecise. In this paper, we focus on provider-free ASes that reach the entire Internet without paying anyone for the traffic delivery. While the ground truth about PFS (set of the provider-free ASes) lies outside the public domain, we use trustworthy non-verifiable sources as a baseline for result validation. Straightforward extraction of PFS from public datasets of inter-AS economic relationships yields poor results. Then, we develop a more sophisticated Temporal Cone (TC) algorithm that relies on topological statistics (customer cones of ASes) and exploits the temporal diversity of the datasets. Our evaluation shows that the TC algorithm infers PFS from the same public datasets with a significantly higher accuracy. We also assess the sensitivity of the TC algorithm to its parameters.