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.

Export metadata

Additional Services

Share in Twitter Search Google Scholar Statistics
Author: Viktoria Vomhoff, Stefan Geißler, Tobias Hoßfeld
Document Type:Working Paper
Faculties:Fakultät für Mathematik und Informatik / Institut für Informatik
Parent Title (English):Würzburg Workshop on Next-Generation Communication Networks (WueWoWas'22)
Year of Completion:2022
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
GND Keyword:Datennetz
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