Network and Physical Layer Attacks and countermeasures to AI-Enabled 6G O-RAN
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Abstract (arXiv)
Artificial intelligence (AI) will play an increasing role in cellular network deployment, configuration and management. This paper examines the security implications of AI-driven 6G radio access networks (RANs). While the expected timeline for 6G standardization is still several years out, pre-standardization efforts related to 6G security are already ongoing and will benefit from fundamental and experimental research. The Open RAN (O-RAN) describes an industry-driven open architecture and interfaces for building next generation RANs with AI control. Considering this architecture, we identify the critical threats to data driven network and physical layer elements, the corresponding countermeasures, and the research directions.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 7 of its 18 references that are in the map. First posted on arXiv 1 Jun 2021.
Builds on
7 of 18 references.
References · 7
- 2014Explaining and Harnessing Adversarial Examplescited by 7,364
- 2016Towards Evaluating the Robustness of Neural Networkscited by 2,998
- 2019The Roadmap to 6G -- AI Empowered Wireless Networkscited by 153
- 2019A Speculative Study on 6Gcited by 14
- 2021Context-Aware Security for 6G Wireless The Role of Physical Layer Securitycited by 7
- 2020UAV-Assisted Attack Prevention, Detection, and Recovery of 5G Networkscited by 3
- 2020UAVs with Reconfigurable Intelligent Surfaces: Applications, Challenges, and Opportunitiescited by 1
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Citing papers per year: 2026: 1.
1 paper.