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Replication: 20 Years of Inferring Interdomain Routing Policies

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

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Replication: 20 Years of Inferring Interdomain Routing Policies. / Kastanakis, Savvas; Giotsas, Vasileios; Livadariu, Ioana et al.
2023. 16-29 Paper presented at 2023 ACM Internet Measurement Conference, Montreal, Canada.

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

Harvard

Kastanakis, S, Giotsas, V, Livadariu, I & Suri, N 2023, 'Replication: 20 Years of Inferring Interdomain Routing Policies', Paper presented at 2023 ACM Internet Measurement Conference, Montreal, Canada, 24/10/23 - 26/10/23 pp. 16-29. https://doi.org/10.1145/3618257.3624799

APA

Kastanakis, S., Giotsas, V., Livadariu, I., & Suri, N. (2023). Replication: 20 Years of Inferring Interdomain Routing Policies. 16-29. Paper presented at 2023 ACM Internet Measurement Conference, Montreal, Canada. https://doi.org/10.1145/3618257.3624799

Vancouver

Kastanakis S, Giotsas V, Livadariu I, Suri N. Replication: 20 Years of Inferring Interdomain Routing Policies. 2023. Paper presented at 2023 ACM Internet Measurement Conference, Montreal, Canada. doi: 10.1145/3618257.3624799

Author

Kastanakis, Savvas ; Giotsas, Vasileios ; Livadariu, Ioana et al. / Replication: 20 Years of Inferring Interdomain Routing Policies. Paper presented at 2023 ACM Internet Measurement Conference, Montreal, Canada.14 p.

Bibtex

@conference{e247a47b6b0141e0b70d701285984c80,
title = "Replication: 20 Years of Inferring Interdomain Routing Policies",
abstract = "In 2003, Wang and Gao [67] presented an algorithm to infer and characterize routing policies as this knowledge could be valuable in predicting and debugging routing paths. They used their algorithm to measure the phenomenon of selectively announced prefixes, in which, ASes would announce their prefixes to specific providers to manipulate incoming traffic. Since 2003, the Internet has evolved from a hierarchical graph, to a flat and dense structure. Despite 20 years of extensive research since that seminal work, the impact of these topological changes on routing policies is still blurred. In this paper we conduct a replicability study of the Wang and Gao paper [67], to shed light on the evolution and the current state of selectively announced prefixes. We show that selective announcements are persistent, not only across time, but also across networks. Moreover, we observe that neighbors of different AS relationships may be assigned with the same local preference values, and path selection is not as heavily dependent on AS relationships as it used to be. Our results highlight the need for BGP policy inference to be conducted as a high-periodicity process to account for the dynamic nature of AS connectivity and the derived policies.",
author = "Savvas Kastanakis and Vasileios Giotsas and Ioana Livadariu and Neeraj Suri",
year = "2023",
month = oct,
day = "24",
doi = "10.1145/3618257.3624799",
language = "English",
pages = "16--29",
note = "2023 ACM Internet Measurement Conference, IMC 2023 ; Conference date: 24-10-2023 Through 26-10-2023",
url = "https://conferences.sigcomm.org/imc/2023/",

}

RIS

TY - CONF

T1 - Replication: 20 Years of Inferring Interdomain Routing Policies

AU - Kastanakis, Savvas

AU - Giotsas, Vasileios

AU - Livadariu, Ioana

AU - Suri, Neeraj

N1 - Conference code: 23

PY - 2023/10/24

Y1 - 2023/10/24

N2 - In 2003, Wang and Gao [67] presented an algorithm to infer and characterize routing policies as this knowledge could be valuable in predicting and debugging routing paths. They used their algorithm to measure the phenomenon of selectively announced prefixes, in which, ASes would announce their prefixes to specific providers to manipulate incoming traffic. Since 2003, the Internet has evolved from a hierarchical graph, to a flat and dense structure. Despite 20 years of extensive research since that seminal work, the impact of these topological changes on routing policies is still blurred. In this paper we conduct a replicability study of the Wang and Gao paper [67], to shed light on the evolution and the current state of selectively announced prefixes. We show that selective announcements are persistent, not only across time, but also across networks. Moreover, we observe that neighbors of different AS relationships may be assigned with the same local preference values, and path selection is not as heavily dependent on AS relationships as it used to be. Our results highlight the need for BGP policy inference to be conducted as a high-periodicity process to account for the dynamic nature of AS connectivity and the derived policies.

AB - In 2003, Wang and Gao [67] presented an algorithm to infer and characterize routing policies as this knowledge could be valuable in predicting and debugging routing paths. They used their algorithm to measure the phenomenon of selectively announced prefixes, in which, ASes would announce their prefixes to specific providers to manipulate incoming traffic. Since 2003, the Internet has evolved from a hierarchical graph, to a flat and dense structure. Despite 20 years of extensive research since that seminal work, the impact of these topological changes on routing policies is still blurred. In this paper we conduct a replicability study of the Wang and Gao paper [67], to shed light on the evolution and the current state of selectively announced prefixes. We show that selective announcements are persistent, not only across time, but also across networks. Moreover, we observe that neighbors of different AS relationships may be assigned with the same local preference values, and path selection is not as heavily dependent on AS relationships as it used to be. Our results highlight the need for BGP policy inference to be conducted as a high-periodicity process to account for the dynamic nature of AS connectivity and the derived policies.

U2 - 10.1145/3618257.3624799

DO - 10.1145/3618257.3624799

M3 - Conference paper

SP - 16

EP - 29

T2 - 2023 ACM Internet Measurement Conference

Y2 - 24 October 2023 through 26 October 2023

ER -