mlsanityData to 7 Oct 2026

A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions

arXiv 2204.12822 ↗First posted 27 Apr 2022cs.NI cs.AI cs.CRcited by 8

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Abstract (arXiv)

With the advent of 5G commercialization, the need for more reliable, faster, and intelligent telecommunication systems is envisaged for the next generation beyond 5G (B5G) radio access technologies. Artificial Intelligence (AI) and Machine Learning (ML) are immensely popular in service layer applications and have been proposed as essential enablers in many aspects of 5G and beyond networks, from IoT devices and edge computing to cloud-based infrastructures. However, existing 5G ML-based security surveys tend to emphasize AI/ML model performance and accuracy more than the models' accountability and trustworthiness. In contrast, this paper explores the potential of Explainable AI (XAI) methods, which would allow stakeholders in 5G and beyond to inspect intelligent black-box systems used to secure next-generation networks. The goal of using XAI in the security domain of 5G and beyond is to allow the decision-making processes of ML-based security systems to be transparent and comprehensible to 5G and beyond stakeholders, making the systems accountable for automated actions. In every facet of the forthcoming B5G era, including B5G technologies such as ORAN, zero-touch network management, and end-to-end slicing, this survey emphasizes the role of XAI in them that the general users would ultimately enjoy. Furthermore, we presented the lessons from recent efforts and future research directions on top of the currently conducted projects involving XAI.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 73 of its 242 references that are in the map. First posted on arXiv 27 Apr 2022.

Builds on

73 of 242 references.

References · 73

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38 more
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50 most cited of 73 All 73 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 3; 2026: 4.

8 papers.

  1. 2025AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challengescited by 5
  2. 2024Towards Secure Intelligent O-RAN Architecture: Vulnerabilities, Threats and Promising Technical Solutions using LLMscited by 2
  3. 2025Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMscited by 1
  4. 2025On AI Verification in Open RANcited by 1
  5. 2026An Explainable Failure Prediction Framework for Neural Networks in Radio Access Networkscited by 0
  6. 2026X-REFINE: XAI-based RElevance input-Filtering and archItecture fiNe-tuning for channel Estimationcited by 0
  7. 2026X-RACE: XAI-assisted Recurrent neural network Attribution for Channel Estimationcited by 0
  8. 2026Unlocking Cross-Scenario Physical Layer Security: A Mixture-of-Experts Framework with Generative Diffusion Modelscited by 0