Multi-domain anomaly detection in a 5G network

Thomas Hoger; Philippe Owezarski

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arXiv · 2506.12070

Multi-domain anomaly detection in a 5G network

Thomas Hoger·Philippe Owezarski

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Abstract

With the advent of 5G, mobile networks are becoming more dynamic and will therefore present a wider attack surface. To secure these new systems, we propose a multi-domain anomaly detection method that is distinguished by the study of traffic correlation on three dimensions: temporal by analyzing message sequences, semantic by abstracting the parameters these messages contain, and topological by linking them in the form of a graph. Unlike traditional approaches, which are limited to considering these domains independently, our method studies their correlations to obtain a global, coherent and explainable view of anomalies.

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BibTeX RIS

Thomas Hoger, Philippe Owezarski. 2025-06-04. Multi-domain anomaly detection in a 5G network. https://arxiv.org/abs/2506.12070

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