Insight of Anomaly Detection with NWDAF in 5G
(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:
https://lup.lub.lu.se/record/741e2699-cf10-41dc-9070-066bb05b1249
- author
- Yuan, Yachao LU ; Gehrmann, Christian LU ; Sternby, Jakob LU and Barriga, Luis
- organization
- publishing date
- 2022-06-21
- 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}}, }