Open RAN Security: Challenges and Opportunities
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Abstract (arXiv)
Open RAN (ORAN, O-RAN) represents a novel industry-level standard for RAN (Radio Access Network), which defines interfaces that support inter-operation between vendors' equipment and offer network flexibility at a lower cost. Open RAN integrates the benefits and advancements of network softwarization and Artificial Intelligence to enhance the operation of RAN devices and operations. Open RAN offers new possibilities so that different stakeholders can develop the RAN solution in this open ecosystem. However, the benefits of Open RAN bring new security and privacy challenges. As Open RAN offers an entirely different RAN configuration than what exists today, it could lead to severe security and privacy issues if mismanaged, and stakeholders are understandably taking a cautious approach towards the security of Open RAN deployment. In particular, this paper provides a deep analysis of the security and privacy risks and challenges associated with Open RAN architecture. Then, it discusses possible security and privacy solutions to secure Open RAN architecture and presents relevant security standardization efforts relevant to Open RAN security. Finally, we discuss how Open RAN can be used to deploy more advanced security and privacy solutions in 5G and beyond RAN.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Dec 2022.
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Citing papers per year: 2024: 1; 2025: 3; 2026: 2.
6 papers.
- 2025AI5GTest: AI-Driven Specification-Aware Automated Testing and Validation of 5G O-RAN Componentscited by 4
- 2026ML-Enabled Open RAN: A Comprehensive Survey of Architectures, Challenges, and Opportunitiescited by 4
- 2025Rogue Cell: Adversarial Attack and Defense in Untrusted O-RAN Setup Exploiting the Traffic Steering xAppcited by 2
- 2025Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMscited by 2
- 2024An Approach To Enhance IoT Security In 6G Networks Through Explainable AIcited by 1
- 2026Plan2Cleanse: Test-Time Backdoor Defense via Monte-Carlo Planning in Deep Reinforcement Learningcited by 0
- 2026Plan2Cleanse: Test-Time Backdoor Defense via Monte-Carlo Planning in Deep Reinforcement Learning10 May 2026
- 2026ML-Enabled Open RAN: A Comprehensive Survey of Architectures, Challenges, and Opportunities27 Mar 2026
- 2025Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs27 Jul 2025
- 2025AI5GTest: AI-Driven Specification-Aware Automated Testing and Validation of 5G O-RAN Components11 Jun 2025
- 2025Rogue Cell: Adversarial Attack and Defense in Untrusted O-RAN Setup Exploiting the Traffic Steering xApp3 May 2025
- 2024An Approach To Enhance IoT Security In 6G Networks Through Explainable AI4 Oct 2024