Machine learning for 5G security: Architecture, recent advances, and challenges

Afaq, A, Haider, N, Baig, MZ, Khan, KS, Imran, M and Razzak, Muhammad Imran 2021, Machine learning for 5G security: Architecture, recent advances, and challenges, Ad Hoc Networks, vol. 123, pp. 1-9, doi: 10.1016/j.adhoc.2021.102667.

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Title Machine learning for 5G security: Architecture, recent advances, and challenges
Author(s) Afaq, A
Haider, N
Baig, MZ
Khan, KS
Imran, M
Razzak, Muhammad ImranORCID iD for Razzak, Muhammad Imran orcid.org/0000-0002-3930-6600
Journal name Ad Hoc Networks
Volume number 123
Article ID 102667
Start page 1
End page 9
Total pages 9
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2021-12
ISSN 1570-8705
Language eng
DOI 10.1016/j.adhoc.2021.102667
Field of Research 0805 Distributed Computing
0906 Electrical and Electronic Engineering
1005 Communications Technologies
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30156518

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