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Toward a Simulated Attack Dataset for Private 5G Network Security Using Testbeds
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- Authors
- HaLin Jeon, Jonghoon Lee, DaeSung Moon
- Issue Date
- 2026-07
- Citation
- IFIP WG 8.4 International Symposium on E-Business Information Systems Evolution (EBISION) 2026, pp.1-3
- Publisher
- EBISION 2026
- Language
- English
- Type
- Conference Paper
- Abstract
- For Private 5G (P5G) security, AI-based intrusion detection requires network datasets reflecting P5G network characteristics. To address this need, we design attack scenarios targeting four services on a dedicated P5G testbed and collect a network dataset for AI-based intrusion detection in P5G environments.
- KSP Keywords
- 5G networks, Intrusion Detection, Network Security, Network characteristics