Secure and Privacy-Preserving Federated Learning for Connected and Automated Vehicles

In this project, the research team aims to deploy, integrate, and validate privacy-preserving and secure learning solutions for connected and automated vehicles (CAVs). The proposed solution includes four major goals: (1) an integrated anomaly detection technique to detect and isolate backdoor attacks in federated learning (FL) settings for CAVs; (2) a hybrid approach that maintains concrete security against backdoor attacks in CAV applications; (3) a privacy preservation mechanism to ensure CAVs data is protected against data leakage; and (4) training proposed learning models using real-world and synthetic CAV data for assessment and validation purposes. These four goals will mainly contribute to “Security and Resiliency” of intelligent transportation systems while ensuring “Data Privacy” which is aligned with USDOT goals to secure transportation systems and the National Center for Transportation Cybersecurity and Resiliency's (TraCR’s) vision. This project develops a distributed learning architecture to serve as a platform for future projects. For example, it can be used to develop and evaluate other privacy-preserving techniques for intelligent transportation systems use cases.

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

Language

• English

Project

• Status: Active
• Funding: $300121
• 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

  Florida International University, Miami

  University Park, Room P.C. 539
  Miami, FL  United States  33199-0000

  Morgan State University

  Baltimore, Maryland  United States  21251
• Managing Organizations:

  National Center for Transportation Cybersecurity and Resiliency

  1 Research Dr
  Greenville, South Carolina  United States  29607

  Florida International University, Miami

  University Park, Room P.C. 539
  Miami, FL  United States  33199-0000
• Project Managers:

  Chowdhury, Mashrur

• Performing Organizations:

  Florida International University, Miami

  University Park, Room P.C. 539
  Miami, FL  United States  33199-0000

  Morgan State University

  Baltimore, Maryland  United States  21251
• Principal Investigators:

  Amini , Mohammadhadi

  Jeihani, Mansoureh

  Chaharsooghi, Farhad

  Akkaya, Kemal

  Uluagac, Selcuk

• Start Date: 20240101
• Expected Completion Date: 20241231
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Computer security; Connected vehicles; Data privacy; Machine learning
• Subject Areas: Data and Information Technology; Planning and Forecasting; Security and Emergencies; Transportation (General); Vehicles and Equipment;

Filing Info

• Accession Number: 01906980
• Record Type: Research project
• Source Agency: National Center for Transportation Cybersecurity and Resiliency (TraCR)
• Contract Numbers: 69A3552344812, 69A3552348317
• Files: UTC, RIP
• Created Date: Feb 5 2024 3:46PM