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Practicable route leak detection and protection with ASIRIA

Authors :
Marcelo Bagnulo
Alberto García-Martínez
Stefano Angieri
Andra Lutu
Jinze Yang
Comunidad de Madrid
Source :
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid, instname
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Route leak events have historically caused many wide-scale disruptions on the Internet. Leaks are particularly hard to detect because they most frequently involve routes with legitimate origin announced through legitimate paths that are propagated beyond their legitimate scope. In this paper we present ASIRIA, a mechanism for detecting and avoiding leaked routes and protecting against leakage events that uses AS relationship information inferred from the Internet Routing Registries. By relying on existing information, ASIRIA provides immediate benefits to early adopters. In particular, we consider the deployment of ASIRIA to detect leaks caused by over 300 ASes and we show that it can detect over 99% of the leakage events generated by a customer or a peer solely using currently available information in 90% of the cases. This work has been partially supported by Huawei through the Internet Routing Blockchain project, by the EU through the NGI Atlantic MCCA project and the Madrid Government (Comunidad de Madrid Spain) under the Multiannual Agreement with UC3M in the line of Excellence of University Professors (EPUC3M21), and in the context of the V PRICIT (Regional Programme of Research and Technological Innovation)

Details

Language :
English
Database :
OpenAIRE
Journal :
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid, instname
Accession number :
edsair.doi.dedup.....64a0e777f86b90499552b4d471c35c82