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Insight of Anomaly Detection with NWDAF in 5G

Yuan, Yachao LU ; Gehrmann, Christian LU ; Sternby, Jakob LU and Barriga, Luis (2022) 2022 International Conference on Computer, Information and Telecommunication Systems (CITS)
Abstract
Data analytics is regarded as an important function of 5G networks. The Network Data Analytics Function (NWDAF) is standardized in 3GPP to enhance 5G network performance by analyzing data from network functions and user equipment. Abnormal behavior detection, which is part of the NWDAF framework, has the potential to be a powerful tool to improve 5G network security. Despite this, only limited research has been conducted in the area so far. This paper explains abnormal behavior detection in NWDAF specified in 3GPP. Furthermore, we extensively review the related work and summarize open problems and provide possible future research directions.
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2022 International Conference on Computer, Information and Telecommunication Systems (CITS)
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2022 International Conference on Computer, Information and Telecommunication Systems (CITS)
conference location
Piraeus, Greece
conference dates
2022-07-13 - 2022-07-15
external identifiers
  • scopus:85136137278
ISBN
978-1-6654-8615-6
978-1-6654-8616-3
DOI
10.1109/CITS55221.2022.9832914
project
Cyber Security for Next Generation Factory (SEC4FACTORY)
language
English
LU publication?
yes
id
741e2699-cf10-41dc-9070-066bb05b1249
date added to LUP
2022-11-17 13:08:02
date last changed
2024-04-18 12:30:33
@inproceedings{741e2699-cf10-41dc-9070-066bb05b1249,
  abstract     = {{Data analytics is regarded as an important function of 5G networks. The Network Data Analytics Function (NWDAF) is standardized in 3GPP to enhance 5G network performance by analyzing data from network functions and user equipment. Abnormal behavior detection, which is part of the NWDAF framework, has the potential to be a powerful tool to improve 5G network security. Despite this, only limited research has been conducted in the area so far. This paper explains abnormal behavior detection in NWDAF specified in 3GPP. Furthermore, we extensively review the related work and summarize open problems and provide possible future research directions.}},
  author       = {{Yuan, Yachao and Gehrmann, Christian and Sternby, Jakob and Barriga, Luis}},
  booktitle    = {{2022 International Conference on Computer, Information and Telecommunication Systems (CITS)}},
  isbn         = {{978-1-6654-8615-6}},
  language     = {{eng}},
  month        = {{06}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Insight of Anomaly Detection with NWDAF in 5G}},
  url          = {{http://dx.doi.org/10.1109/CITS55221.2022.9832914}},
  doi          = {{10.1109/CITS55221.2022.9832914}},
  year         = {{2022}},
}