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  5. AI and 6G Security: Opportunities and Challenges
 
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AI and 6G Security: Opportunities and Challenges

Author(s)
Siriwardhana, Yushan  
Porambage, Pawani  
Liyanage, Madhusanka  
Ylianttila, Mika  
Uri
http://hdl.handle.net/10197/25913
Date Issued
2021-06-11
Date Available
2024-05-10T15:57:48Z
Abstract
While 5G is well-known for network cloudification with micro-service based architecture, the next generation networks or the 6G era is closely coupled with intelligent network orchestration and management. Hence, the role of Artificial Intelligence (AI) is immense in the envisioned 6G paradigm. However, the alliance between 6G and AI may also be a double-edged sword in many cases as AI's applicability for protecting or infringing security and privacy. In particular, the end-to-end automation of future networks demands proactive threats discovery, application of mitigation intelligent techniques and making sure the achievement of self-sustaining networks in 6G. Therefore, to consolidate and solidify the role of AI in securing 6G networks, this article presents how AI can be leveraged in 6G security, possible challenges and solutions.
Sponsorship
European Commission Horizon 2020
University College Dublin
Other Sponsorship
Academy of Finland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2021 the Authors
Subjects

6G mobile communicati...

Privacy

Intelligent networks

Automation

5G mobile communicati...

Security

Artificial intelligen...

DOI
10.1109/eucnc/6gsummit51104.2021.9482503
Web versions
https://www.eucnc.eu/
Language
English
Status of Item
Peer reviewed
Journal
2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
Conference Details
The 2021 Joint EuCNC & 6G Summit, Porto, Portugal (held online due to Coronavirus outbreak), 8-11 June 2021
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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IEEE_EUCNC_2021_AI_for_6G_SEC.pdf

Size

1.86 MB

Format

Adobe PDF

Checksum (MD5)

c4b491805f7f25449f03042d9cdc9448

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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