Insight of Anomaly Detection with NWDAF in 5G

Yachao Yuan; Christian Gehrmann; Jakob Sternby; Luis Barriga

doi:10.1109/CITS55221.2022.9832914

Insight of Anomaly Detection with NWDAF in 5G

Yachao Yuan, Christian Gehrmann, Jakob Sternby, Luis Barriga

Ericsson Research

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

Sammanfattning

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.

Originalspråk	engelska
Titel på värdpublikation	2022 International Conference on Computer, Information and Telecommunication Systems (CITS)
Förlag	IEEE - Institute of Electrical and Electronics Engineers Inc.
ISBN (elektroniskt)	978-1-6654-8615-6
ISBN (tryckt)	978-1-6654-8616-3
DOI	https://doi.org/10.1109/CITS55221.2022.9832914
Status	Published - 2022 juni 21
Evenemang	2022 International Conference on Computer, Information and Telecommunication Systems (CITS) - Piraeus, Grekland Varaktighet: 2022 juli 13 → 2022 juli 15

Konferens

Konferens	2022 International Conference on Computer, Information and Telecommunication Systems (CITS)
Land/Territorium	Grekland
Ort	Piraeus
Period	2022/07/13 → 2022/07/15

Ämnesklassifikation (UKÄ)

Kommunikationssystem

Tillgång till dokument

10.1109/CITS55221.2022.9832914

Sec4Factory: Cybersäkerhet för nästa generations fabrik (SEC4FACTORY)
Gehrmann, C., Kihl, M., Hell, M., Fitzgerald, E., Toorani, M., Fitzgerald, E., Tärneberg, W. & Akbarian, F.
Stiftelsen för Strategisk Forskning, SSF
2018/04/01 → 2024/12/31
Projekt: Forskning

Citera det här

@inproceedings{741e2699cf1041dc9070066bb05b1249,

title = "Insight of Anomaly Detection with NWDAF in 5G",

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 = "Yachao Yuan and Christian Gehrmann and Jakob Sternby and Luis Barriga",

year = "2022",

month = jun,

day = "21",

doi = "10.1109/CITS55221.2022.9832914",

language = "English",

isbn = "978-1-6654-8616-3",

booktitle = "2022 International Conference on Computer, Information and Telecommunication Systems (CITS)",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2022 International Conference on Computer, Information and Telecommunication Systems (CITS) ; Conference date: 13-07-2022 Through 15-07-2022",

}

Yuan, Y , Gehrmann, C, Sternby, J & Barriga, L 2022, Insight of Anomaly Detection with NWDAF in 5G. i 2022 International Conference on Computer, Information and Telecommunication Systems (CITS). IEEE - Institute of Electrical and Electronics Engineers Inc., 2022 International Conference on Computer, Information and Telecommunication Systems (CITS), Piraeus, Grekland, 2022/07/13. https://doi.org/10.1109/CITS55221.2022.9832914

Insight of Anomaly Detection with NWDAF in 5G. / Yuan, Yachao ; Gehrmann, Christian; Sternby, Jakob et al.

2022 International Conference on Computer, Information and Telecommunication Systems (CITS). IEEE - Institute of Electrical and Electronics Engineers Inc., 2022.

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

TY - GEN

T1 - Insight of Anomaly Detection with NWDAF in 5G

AU - Yuan, Yachao

AU - Gehrmann, Christian

AU - Sternby, Jakob

AU - Barriga, Luis

PY - 2022/6/21

Y1 - 2022/6/21

N2 - 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.

AB - 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.

U2 - 10.1109/CITS55221.2022.9832914

DO - 10.1109/CITS55221.2022.9832914

M3 - Paper in conference proceeding

SN - 978-1-6654-8616-3

BT - 2022 International Conference on Computer, Information and Telecommunication Systems (CITS)

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 International Conference on Computer, Information and Telecommunication Systems (CITS)

Y2 - 13 July 2022 through 15 July 2022

ER -

Insight of Anomaly Detection with NWDAF in 5G

Sammanfattning

Konferens

Ämnesklassifikation (UKÄ)

Tillgång till dokument

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Projekt

Sec4Factory: Cybersäkerhet för nästa generations fabrik (SEC4FACTORY)

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