RT Journal Article
T1 Practicable route leak detection and protection with ASIRIA
A1 Bagnulo Braun, Marcelo Gabriel
A1 García Martínez, Alberto
A1 Angieri, Stefano
A1 Lutu, Andra Elena
A1 Yang, Jinze
AB 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.
PB Elsevier
SN 1389-1286
YR 2022
FD 2022-07-05
LK https://hdl.handle.net/10016/35873
UL https://hdl.handle.net/10016/35873
LA eng
NO 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)
DS e-Archivo
RD 1 sept. 2024