Md. Kamal Hossain Chowdhury

Evaluating Open-Weight LLMs for Generating Structured Threat Information for Autonomous Vehicle Vulnerabilities

This work constructs a dataset called CAV-STIXGen that maps CAV vulnerability descriptions to STIX domain objects, and analyzes CWE and MITRE ATT&CK co-occurrences to identify recurring threat patterns in the CAV domain, demonstrating how AI-assisted vulnerability-to-STIX translation can automate threat intelligence and prioritize defense in transportation security.