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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2506.12070 |
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| _version_ | 1866912429778141184 |
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| author | Hoger, Thomas Owezarski, Philippe |
| author_facet | Hoger, Thomas Owezarski, Philippe |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_12070 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Multi-domain anomaly detection in a 5G network Hoger, Thomas Owezarski, Philippe Networking and Internet Architecture Cryptography and Security 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. |
| title | Multi-domain anomaly detection in a 5G network |
| topic | Networking and Internet Architecture Cryptography and Security |
| url | https://arxiv.org/abs/2506.12070 |