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A research platform for collecting, analysing, and learning from operational data in a 5G core network. Built on top of Open5GS and OCUDU, the project captures per-UE logs and metrics across 38 controlled scenarios and uses them to train models capable of reconstructing network procedures and detecting anomalies.
Repository Structure
5gCore-Inspector/
├── data/
│ └── raw/ # Raw log captures, one folder per scenario
│ ├── scenario_01/ # Initial Registration
│ ├── scenario_02/ # Authentication Failure
│ │ ...
│ └── scenario_38/ # Connect and Disconnect Loop
└── README.md
Scenarios
Each scenario folder contains a README.md with: description, NFs involved, procedure flow, metrics to capture, log sources, expected outcome, and ML labels.