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Red vs. Blue Team Training Scenarios for 5G/6G Networks

Authors: Karagiannis, Stylianos; Kasotakis, Antonios; Magkos, Emmanouil; Ntantogian, Christoforos;

Red vs. Blue Team Training Scenarios for 5G/6G Networks

Abstract

5G networks offer unprecedented speed, low latency, and support for massive device connectivity. However, a critical challenge in 5G networks is the lack of specialized cybersecurity education and training. This paper presents a red vs. blue team training scenario focusing on the PFCP teardown attack. Within the deployed 5G environment, the red team forges PFCP session deletion messages to prematurely terminate user sessions. In response, the blue team deploys detection and mitigation strategies using intrusion detection rules and firewall policies. The training scenario leverages Open5GS and UERANSIM and builds upon a containerized testbed to simulate realistic network conditions. The proposed training scenario bridges the gap between theoretical understanding and practical skills, offering an environment to explore protocol vulnerabilities and develop defenses for 5G networks. This work supports cybersecurity education for 5G networks and lays the foundation for building 5G and 6G cyber range platforms. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average