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.
Author: | Viktoria Vomhoff, Stefan Geißler, Tobias Hoßfeld |
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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): | CC BY-SA: Creative-Commons-Lizenz: Namensnennung, Weitergabe unter gleichen Bedingungen 4.0 International |