SentinelLab: A Plug-in Online Defender Testbed for Connected and Autonomous Vehicle (CAV)
This project develops SentinelLab, a closed-loop defender testbed designed to transform how Connected and Automated Vehicle (CAV) cybersecurity is validated. Currently, most research stops at detecting anomalies; this project bridges the gap to active defense by integrating the METS-R traffic simulator with the CARLA photo-realistic sensor simulator. The testbed utilizes a “Recognize, Decide, Act” framework. The project employs a multimodal Large Language Model (LLM) to recognize specific attack families (e.g., message replay, breaking provocation) from noisy streaming signals. It then uses an online Defender Workbench to decide on mitigation strategies via plug-in policies and automatically executes these actions in the simulation. This system enables researchers and public agencies to prepare defenses against realistic threats and quantify their impacts on safety and mobility.
Language
- English
Project
- Status: Active
- Funding: $447,369.00
-
Contract Numbers:
69A3552344812
-
Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590Clemson University
216 Lowry Hall
Clemson, SC, SC United States 29634 1040 South River Road
West Lafayette, IN United States 47907 800 W Campbell Rd
Richardson, Texas United States 75080 -
Managing Organizations:
National Center for Transportation Cybersecurity and Resiliency (TraCR)
Clemson University
Clemson, SC United StatesClemson University
216 Lowry Hall
Clemson, SC, SC United States 29634 -
Project Managers:
Chowdhury, Mashrur
-
Performing Organizations:
Clemson University
216 Lowry Hall
Clemson, SC, SC United States 29634 1040 South River Road
West Lafayette, IN United States 47907 800 W Campbell Rd
Richardson, Texas United States 75080 -
Principal Investigators:
Fan, Chao
Li, Lingxi
Ukkusuri, Satish
Khan, Latifur
Thuraisingham, Bhavani
Karim, Imtiaz
- Start Date: 20260401
- Expected Completion Date: 20270331
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Computer security; Connected vehicles; Cyberattacks; Machine learning; Simulation; Test beds
- Subject Areas: Data and Information Technology; Highways; Security and Emergencies; Vehicles and Equipment;
Filing Info
- Accession Number: 01988324
- Record Type: Research project
- Source Agency: National Center for Transportation Cybersecurity and Resiliency (TraCR)
- Contract Numbers: 69A3552344812
- Files: UTC, RIP
- Created Date: Apr 29 2026 11:32AM