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Autonomous Systems under AReST: Advanced Revelation of Segment Routing Tunnels
Dekinder, Florian; Vermeulen, Kevin; Donnet, Benoît
2025In ACM Internet Measurement Conference
Peer reviewed Dataset
 

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Keywords :
Segment Routing; MPLS; traceroute; fingerprinting; labels; AReST
Abstract :
[en] Segment Routing (SR), an advanced source routing mechanism, is a promising technology with a wide range of applications that has already gained traction from hardware vendors, network operators, and researchers alike. However, despite the abundance of activity surrounding SR, little is known about how to gauge \sr deployment and its usage by operators. This paper introduces a methodology, called Advanced Revelation of Segment Routing Tunnels (AReST), for revealing the presence of SR with MPLS as forwarding plane (SR-MPLS). AReST relies on standard measurement tools, like traceroute and fingerprinting, and post-processes the collected data for highlighting evidence of SR-MPLS. Our results show that AReST is efficient in revealing the presence of SR-MPLS in various autonomous systems, obtaining a perfect precision on our ground truth directly obtained from an operator. We also make a preliminary characterization of the SR-MPLS deployment and show that it is commonly deployed within Content, Transit, and Tier-1 providers and, occasionally, in interworking with classic MPLS. The data collected, as well as our source code, is available to the research community.
Disciplines :
Computer science
DOI :
10.1145/3730567.3764436
Author, co-author :
Dekinder, Florian ;  Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science
Vermeulen, Kevin
Donnet, Benoît  ;  Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Algorithmique des grands systèmes
Language :
English
Title :
Autonomous Systems under AReST: Advanced Revelation of Segment Routing Tunnels
Publication date :
October 2025
Event name :
ACM Internet Measurement Conference
Event organizer :
ACM
Event place :
Madison, United States
Event date :
28-31 octobre 2025
Audience :
International
Main work title :
ACM Internet Measurement Conference
Publisher :
ACM
Peer review/Selection committee :
Peer reviewed
Name of the research project :
CyberExcellence
Funding number :
2110186
Data Set :
AReST Code

The data collected and analyzed throughout this paper is available at https://doi.org/10.58119/ULG/AN7GB7

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