Cyberattack Resilience in Cooperative Driving Automation Using Experimental Data and Federated Agents

Cooperative Driving Automation (CDA) or vehicles that are connected and automated can potentially transform the transportation system. CDA continuously communicates with their surrounding vehicles (V2V). These technologies can potentially help relieve congestion and improve roadway efficiency and safety in the near future. However, the wider use of communications and wireless networks in CDA and transportation operations and management systems has made these systems vulnerable to the risk of cyberattacks. These systems rely on the Internet of Things (IoT), and connectivity and provide wider accessibility. The XML messages used by the National Transportation Communication for Intelligent Transportation Systems (ITS) Protocol (NTCIP) are considered to have relatively small intrusions that are initiated by hackers and, thus, have no built-in security. The USDOT has also initiated a credential management system for security (SCMS) of vehicle and infrastructure-based communication. However, the increased dependency on communication provides hackers with multiple access points, making them vulnerable to cyberattacks and are the least understood in terms of cybersecurity. Thus, it is imperative to assess the cyber risks of these systems and design efficient and effective anomaly detection methods so that anomalous behavior in CDA can be detected in real time and these systems can perform resiliently under cyberattacks. Past research has used CAN bus data from normal human-driven vehicles to develop anomaly detection algorithms using machine learning without accounting for the temporal dependencies between anomalous trajectories, and the influence of compromise on leaders or followers within a platoon has also not been considered.

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

Language

• English

Project

• Status: Active
• Funding: $207,900.00
• 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

  Morgan State University

  1700 E. Coldspring Lane
  Baltimore, Maryland  United States  21251

  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 

  Morgan State University

  1700 E. Cold Spring Lane
  Baltimore, MD 21251, Maryland  United States  21251
• Project Managers:

  Chowdhury, Mashrur

• Performing Organizations:

  Morgan State University

  1700 E. Coldspring Lane
  Baltimore, Maryland  United States  21251

  University of California, Santa Cruz

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

  Khattak, Zulqarnain H

  Cardenas, Alvaro

• 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; Connected vehicles; Risk assessment; Vehicle to vehicle communications
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Security and Emergencies; Vehicles and Equipment;

Filing Info

• Accession Number: 01950443
• Record Type: Research project
• Source Agency: National Center for Transportation Cybersecurity and Resiliency (TraCR)
• Contract Numbers: 69A3552344812, 69A3552348317
• Files: UTC, RIP
• Created Date: Mar 31 2025 4:58PM