Descriptor: 5G Wireless Network Intrusion Detection Dataset (5G-NIDD)
Approved
Classifications
MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Data article
Host publication type
Journal
Publication channel information
Title of journal/series
IEEE data descriptions
ISSN (electronic)
2995-4274
ISSN (linking)
2995-4274
Publisher
IEEE
Publication forum ID
93358
Publication forum level
1
Internationality
Yes
Detailed publication information
Publication year
2025
Bibliographical publication year
2025
Reporting year
2025
Journal/series volume number
2
Page numbers
358-369
DOI
10.1109/ieeedata.2025.3592888
Language of publication
English
Co-publication information
International co-publication
Yes
Co-publication with a company
Yes
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
213 Electronic, automation and communications engineering, electronics
Keywords
5G Security; 5GTN; Dataset; Intrusion Detection; Machine Learning
Additional information
[Epub ahead of print 28 Jul 2025]
Funding information
Funding information in the publication
This work is supported by the Academy of Finland in 6Genesis Flagship (grant no. 318927) project, and by Business Finland-funded project 6G Cure. This work is also supported by the Institute of Information & communications
Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2021-0-02107, Collaborative research on element Technologies for 6G Security-by-Design and standardization-based International
cooperation).
Funders
Funder
Research Council of Finland (former Academy of Finland)
Name of funding
6Genesis Flagship
Funding decision
318927
Funder
Business Finland
Name of funding
6G Cure
Funding decision
-
Research data information
Identifiers
Dataset identifier
10.23729/e80ac9df-d9fb-47e7-8d0d-01384a41536
Dataset identifier
10.21227/xtep-hv36
Infrastructure information
Infrastructure information in the publication
Special thanks to the 5GTN for their infrastructure and resources at the Centre for Wireless Communications, University of Oulu.
Source database ID
Other database ID
, IEEE: 11098458