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

A synthetic 10,000-record, 44-column 5G-UAS telemetry dataset and reproducible evaluation pipeline aligned with manuscript revision. Version 1.3.1 is a metadata, figure, and provenance-alignment release: it preserves the dataset and reported results while adding the Version 1 notebook/script provenance files and the complete manuscript figure set. Results measure generator-induced separability and are not operational validation. Keywords drone cybersecurity 5G security unmanned aerial systems synthetic dataset network telemetry intrusion detection incident response machine learning anomaly detection reproducibility benchmark evaluation label leakage