AI and 6G security : opportunities and challenges |
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Author: | Siriwardhana, Yushan1; Porambage, Pawani1; Liyanage, Madhusanka1,2; |
Organizations: |
1Centre for Wireless Communications, University of Oulu, Finland 2School of Computer Science, University College Dublin, Ireland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.9 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2021102051685 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2021
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Publish Date: | 2021-10-20 |
Description: |
AbstractWhile 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. see all
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Series: |
European Conference on Networks and Communications |
ISSN: | 2475-6490 |
ISSN-E: | 2575-4912 |
ISSN-L: | 2475-6490 |
ISBN: | 978-1-6654-1526-2 |
ISBN Print: | 978-1-6654-3021-0 |
Pages: | 616 - 621 |
Article number: | 9482503 |
DOI: | 10.1109/EuCNC/6GSummit51104.2021.9482503 |
OADOI: | https://oadoi.org/10.1109/EuCNC/6GSummit51104.2021.9482503 |
Host publication: |
Joint 30th European Conference on Networks and Communications and 3rd 6G Summit, EuCNC/6G Summit 2021 |
Conference: |
Joint European Conference on Networks and Communications & 6G Summit |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
This work is supported by Academy of Finland in 6Genesis Flagship (grant no. 318927) and 5GEAR (Grant No. 319669) projects. The research leading to these results partly received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no 871808 (5G PPP project INSPIRE-5Gplus). The paper reflects only the authors’ views. The Commission is not responsible for any use that may be made of the information it contains. |
EU Grant Number: |
(871808) INSPIRE-5Gplus - INtelligent Security and PervasIve tRust for 5G and Beyond |
Academy of Finland Grant Number: |
318927 319669 |
Detailed Information: |
318927 (Academy of Finland Funding decision) 319669 (Academy of Finland Funding decision) |
Copyright information: |
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