Machine Learning-Based Anomaly Detection for Traffic in IoT-Enabled Transportation Networks. Used for research to be presented at the CYBER-CARE Symposium at Embry Riddle Aeronautical University.
-
Updated
Apr 24, 2026 - Python
Machine Learning-Based Anomaly Detection for Traffic in IoT-Enabled Transportation Networks. Used for research to be presented at the CYBER-CARE Symposium at Embry Riddle Aeronautical University.
FreightSkillBench is a reproducible benchmark for evaluating document-to-transaction integrity, prompt-injection risk, and security controls in AI-enabled shipping and logistics workflows.
Esquemas de principales conceptos de Ciberseguridad en el Sector Transporte y Logística.
Add a description, image, and links to the transportation-security topic page so that developers can more easily learn about it.
To associate your repository with the transportation-security topic, visit your repo's landing page and select "manage topics."