Synthetic Drone Network Telemetry Dataset and Baseline Machine-Learning Pipeline for Cyber-Incident Detection in 5G-Enabled Unmanned Aerial Systems

This deposit includes a reproducible Jupyter/Colab notebook, synthetic telemetry data generated with source scripts, and documentation for cyber-incident detection and automated response in 5G-enabled Unmanned Aerial Systems. The project supports baseline machine-learning experiments for normal/suspicious/malicious classification, attack-type classification, explainability, and response recommendation. Keywords - drone cybersecurity - 5G security - unmanned aerial systems - synthetic dataset - network telemetry - intrusion detection - incident response - anomaly detection - machine learning - explainable AI - cyber-physical systems ## Suggested communities Select relevant communities for cybersecurity, AI, datasets, network security, and cyber-physical systems if available.