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Open Radio Access Networks (Open RAN) have gained significant traction in modern telecommunications due to their cost-efficiency and scalability. However, their open architecture introduces critical security challenges. To fortify Open RAN security, this paper proposes a novel approach that combines the principles of Zero Trust Architecture (ZTA) with the use of transformer-based models. ZTA operates on the premise that all network entities are untrusted until authenticated, providing a robust security foundation. By integrating transformers, renowned for their efficiency in processing unstructured data, we enable real-time analysis of time series data within specified windows, enhancing anomaly detection. We leverage a dataset constructed from a functional 5G test network to evaluate the effectiveness of our transformer-based approach. Our findings demonstrate the superior performance of our approach compared to other benchmark methods.
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Hamhoum et al. (2024) studied this question.
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