Reinforcement Learning-Based Slice Isolation Against DDoS Attacks in beyond 5G Networks
Approved
Classifications
MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal
Publication channel information
Title of journal/series
IEEE transactions on network and service management
ISSN (print)
2373-7379
ISSN (electronic)
1932-4537
ISSN (linking)
1932-4537
Publisher
IEEE
Publication forum ID
57563
Publication forum level
1
Country of publication
United States
Internationality
Yes
Detailed publication information
Publication year
2023
Reporting year
2023
Journal/series volume number
20
Journal/series issue number
3
Page numbers
3930-3946
DOI
10.1109/TNSM.2023.3254581
Language of publication
English
Co-publication information
International co-publication
Yes
Co-publication with a company
No
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 networks; distributed denial of service (DDoS); reinforcement learning (RL); slice isolation
Funding information
Funding information in the publication
This work was supported in part by the EU’s Horizon 2020 research and innovation programme under the INSPIRE-5Gplus project (Grant No. 871808), the EU’s HE research and innovation programme HORIZONJU-SNS-2022 under the RIGOUROUS project (Grant No. 101095933), the Academy of Finland IDEA-MILL project under Grant No. 352428, and the Academy of Finland 6Genesis Flagship Project (Grant No. 346208).
Source database ID
WoS ID
WOS:001119505800123
Scopus ID
2-s2.0-85149865609