Abstract
The 5G core network is the backbone of modern mobile communication, providing high-speed, low-latency, and diverse services for users and industries. Artificial Intelligence (AI) plays an important role in this network by optimizing per-formance, supporting dynamic resource scaling, and improving security through anomaly detection and threat mitigation. Testing AI in 5G environments is difficult because of the complexity of the network and the many possible attack vectors. In this paper, we present a modular and reproducible testbed for evaluating AI-based security mechanisms in the 5G core. The testbed emulates key 5G components and traffic patterns, enabling systematic experiments under realistic conditions. It also provides reliable measurements of Key Performance Indicators (KPIs) to evaluate the effectiveness, robustness, and operational impact of AI solutions, including their ability to detect and mitigate threats. Our work provides a structured framework for testing AI solutions and supports the development of secure, resilient, and AI -enhanced 5G networks.
| Original language | English |
|---|---|
| Title of host publication | 2025 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-8 |
| Number of pages | 8 |
| ISBN (Electronic) | 9798331566340 |
| ISBN (Print) | 9798331566357 |
| DOIs | |
| Publication status | Published - 14 Nov 2025 |
| Event | 2025 IEEE 16th International Conference on Cloud Computing Technology and Science, IEEE CloudCom 2025 - Shenzhen, China Duration: 14 Nov 2025 → 16 Nov 2025 |
Conference
| Conference | 2025 IEEE 16th International Conference on Cloud Computing Technology and Science, IEEE CloudCom 2025 |
|---|---|
| Country/Territory | China |
| City | Shenzhen |
| Period | 14/11/25 → 16/11/25 |
Funding
This work has been partly supported by the European Union Horizon Europe Program under grant 101120393 (Sec4AI4Sec) and the Dutch Research Council (NWO) under grant KIC1.VE01.20.004 (HEWSTI).
| Funders | Funder number |
|---|---|
| HEWSTI | |
| European Commission | 101120393 |
| Nederlandse Organisatie voor Wetenschappelijk Onderzoek | KIC1.VE01.20.004 |
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