High-Fidelity Attack Modeling and Resilience Analysis of Autonomous Vehicle Software Stack

This project aims to improve the resilience of autonomous vehicles (AVs) against physical attacks. The researchers propose developing a high-fidelity modeling environment and integrating it with a resilience analysis framework. This will allow for a deeper understanding of how robust AV systems are under various scenarios and environmental conditions and ultimately contribute to safer AV technology. This project aligns with the U.S. Department of Transportation (US DOT)’s strategic goal of safety, specifically aiming to reduce fatalities and serious injuries on the roads. By focusing on the resilience of AVs to physical attacks, the research addresses a critical safety concern. The project's approach to modeling and analyzing vulnerabilities in AV systems has the potential to transform how AV safety is evaluated and improved, contributing to a safer and more reliable transportation system.

• Record URL:
  • https://www.clemson.edu/cecas/tracr/research/projects/

Language

• English

Project

• Status: Active
• Funding: $280,910.00
• Contract Numbers:

  69A3552344812;

  69A3552348317

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590

  Purdue University

  1040 South River Road
  West Lafayette, IN  United States  47907

  University of California, Santa Cruz

  1156 High Street, Mail Stop SOE2
  Santa Cruz, California  United Kingdom  95064
• Managing Organizations:

  National Center for Transportation Cybersecurity and Resiliency (TraCR)

  Clemson University
  Clemson, SC  United States 

  Purdue University

  1040 South River Road
  West Lafayette, IN  United States  47907
• Project Managers:

  Chowdhury, Mashrur

• Performing Organizations:

  Purdue University

  1040 South River Road
  West Lafayette, IN  United States  47907

  University of California, Santa Cruz

  1156 High Street, Mail Stop SOE2
  Santa Cruz, California  United Kingdom  95064
• Principal Investigators:

  Celik, Berkay

  Cardenas, Alvaro

  Fremont, Daniel

  Ukkusuri, Satish

  Xie, Cihang

  Gilpin , Leilani

• Start Date: 20250101
• Expected Completion Date: 20251231
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Computer security; Disaster resilience; Risk assessment; Traffic safety; Vehicle safety
• Subject Areas: Highways; Safety and Human Factors; Security and Emergencies; Vehicles and Equipment;

Filing Info

• Accession Number: 01950198
• Record Type: Research project
• Source Agency: National Center for Transportation Cybersecurity and Resiliency (TraCR)
• Contract Numbers: 69A3552344812;, 69A3552348317
• Files: UTC, RIP
• Created Date: Mar 27 2025 3:36PM