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Identification of Signaling Patterns in Mobile IoT Signaling Traffic

Please always quote using this URN: urn:nbn:de:bvb:20-opus-280819
  • We attempt to identify sequences of signaling dialogs, to strengthen our understanding of the signaling behavior of IoT devices by examining a dataset containing over 270.000 distinct IoT devices whose signaling traffic has been observed over a 31-day period in a 2G network [4]. We propose a set of rules that allows the assembly of signaling dialogs into so-called sessions in order to identify common patterns and lay the foundation for future research in the areas of traffic modeling and anomaly detection.

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Metadaten
Author: Viktoria Vomhoff, Stefan Geißler, Tobias Hoßfeld
URN:urn:nbn:de:bvb:20-opus-280819
Document Type:Working Paper
Faculties:Fakultät für Mathematik und Informatik / Institut für Informatik
Language:English
Parent Title (English):Würzburg Workshop on Next-Generation Communication Networks (WueWoWas'22)
Year of Completion:2022
Pagenumber:4
DOI:https://doi.org/10.25972/OPUS-28081
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
GND Keyword:Datennetz
Tag:IoT
CCS-Classification:A. General Literature
Release Date:2022/08/12
Collections:Sammel- und Konferenzbände (Edited volumes and conference proceedings) / Würzburg Workshop on Next-Generation Communication Networks (WueWoWas'22) / Arbeitspapiere (Working Paper)
Licence (German):License LogoCC BY-SA: Creative-Commons-Lizenz: Namensnennung, Weitergabe unter gleichen Bedingungen 4.0 International