Verlagslink DOI: 10.1145/3749215
10.48550/arXiv.2506.20383
Titel: A detailed measurement view on IPV6 scanners and their adaption to BGP signals
Sprache: Englisch
Autorenschaft: Egloff, Isabell 
Hiesgen, Raphael 
Koch, Maynard 
Schmidt, Thomas C.  
Wählisch, Matthias 
Schlagwörter: IPv6; Internet Measurement; Internet Scanning
Erscheinungsdatum: 4-Sep-2025
Verlag: Association for Computing Machinery
Zeitschrift oder Schriftenreihe: Proceedings of the ACM on networking 
Zeitschriftenband: 3
Zeitschriftenausgabe: CoNEXT3
Anfangsseite: 15:1
Endseite: 15:23
Konferenz: International Conference on emerging Networking EXperiments and Technologies 2025 
Zusammenfassung: 
Scanners are daily visitors of public IPv4 hosts. Scanning IPv6 nodes successfully is still a challenge, which an increasing crowd of actors tries to master. In this paper, we analyze current IPv6 scanning under various network conditions to disclose the impact on scanning. We observe scanner behavior during eleven months in four network telescopes, one of which is periodically reconfigured by changing BGP announcements. We analyze and classify the observed scanners w.r.t. their temporal behavior, their target and network selection strategy, as well as their individual tools, fingerprints, and correlations across categories. We find that silent subnets of larger prefixes remain mainly invisible, whereas BGP prefix announcements quickly attract attention by scanners. Based on our findings, we derive operational guidance on how to deploy network telescopes to increase visibility for IPv6 scanners and understand corresponding biases.
URI: https://hdl.handle.net/20.500.12738/19099
ISSN: 2834-5509
Begutachtungsstatus: Diese Version hat ein Peer-Review-Verfahren durchlaufen (Peer Review)
Einrichtung: Department Informatik (ehemalig, aufgelöst 10.2025) 
Fakultät Technik und Informatik (ehemalig, aufgelöst 10.2025) 
Dokumenttyp: Zeitschriftenbeitrag
Hinweise zur Quelle: Preprint: https://doi.org/10.48550/arXiv.2506.20383. Verlagsversion: https://doi.org/10.1145/3749215.
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Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons