A Radar-Based Real-Time Cyberattack Detection, Classification, And Notification System Based on Learning Driving-Simulated Vehicle Trajectory Data Under Cyberattacks

As connected vehicle technologies gain widespread adoption, the risk of cyberattacks on transportation systems continues to rise. Cyberattacks targeting vehicle-to-infrastructure (V2I) communications, particularly spoofing attacks on wireless sensors, pose significant safety threats. Existing cyber-layer detection methods are vulnerable to being compromised, highlighting the need for alternative approaches. This study proposes a radar-based, real-time cyberattack detection, classification, and notification system leveraging vehicle trajectory data under cyberattacks. By conducting extensive driving simulator experiments, trajectory and driver behavior data were used to train and evaluate a Hidden Markov Model-based detection algorithm, HMM-4-C. The model successfully detected 98% of cyberattack scenarios, demonstrating its effectiveness in identifying abnormal vehicle behaviors at connected intersections. This research introduces a novel physical-layer detection approach that enhances cybersecurity in intelligent transportation systems and can complement traditional cyber-layer methods for improved attack mitigation.

• Record URL:
  • https://uh.edu/cybercare/research/projects/c23c15/
• Supplemental Notes:
  • This material is based on work supported by the U.S. Department of Transportation, OST-R, University Transportation Center Program, the USDOT Tier 1 UTC Transportation Cybersecurity Center for Advanced Research and Education (CYBER-CARE).

Language

• English

Project

• Status: Active
• Funding: $75,000.00
• Contract Numbers:

  69A3552348332

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Transportation Cybersecurity Center for Advanced Research and Education (CYBER-CARE)

  University of Houston
  Houston, TX  United States 
• Project Managers:

  Zhang, Yunpeng

  Kline, Robin

• Performing Organizations:

  University of Cincinatti

  Cincinatti, OH  United States  45221
• Principal Investigators:

  Li, Zhixia

• Start Date: 20230701
• Expected Completion Date: 20260630
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Computer security; Connected vehicles; Detection and identification systems; Driving simulators; Signalized intersections; Vehicle to infrastructure communications; Vehicle trajectories
• Subject Areas: Data and Information Technology; Highways; Security and Emergencies; Vehicles and Equipment;

Filing Info

• Accession Number: 01953955
• Record Type: Research project
• Source Agency: Transportation Cybersecurity Center for Advanced Research and Education (CYBER-CARE)
• Contract Numbers: 69A3552348332
• Files: UTC, RIP, STATEDOT
• Created Date: Apr 30 2025 4:01PM