Cybersecurity Challenges and Pathways in the Context of Connected Vehicle Systems

This project focuses on one specific challenge: improving the security of data flow in VANETs (Vehicle Ad Hoc Networks). VANETs are used for vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communication. They represent a class of Mobile Ad Hoc Networks (MANETs), which are distributed, self-organizing communication networks built up from traveling vehicles. VANETs can be utilized for a broad range of safety and non-safety applications. This project will synthesize various attacks/threats that may be encountered by VANETs in the real world, and identify possible countermeasures to eliminate (or at least reduce the intensity of) such threats. The research team will highlight the limitations of current security measures and demonstrate a real-world application of a new security protocol that overcomes some of the limitations of existing security protocols.

Language

• English

Project

• Status: Completed
• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Project Managers:

  Bhat, Chandra

• Performing Organizations:

  Data-Supported Transportation Operations and Planning Center

  University of Texas at Austin
  Austin, TX  United States  78701
• Principal Investigators:

  Bhat, Chandra

• Start Date: 20160501
• Expected Completion Date: 20171231
• Actual Completion Date: 0
• Source Data: 134

Subject/Index Terms

• TRT Terms: Computer security; Countermeasures; Mobile communication systems; Networks; Risk management; Vehicle to infrastructure communications; Vehicle to vehicle communications
• Subject Areas: Data and Information Technology; Operations and Traffic Management; Security and Emergencies; Vehicles and Equipment;

Filing Info

• Accession Number: 01611902
• Record Type: Research project
• Source Agency: Data-Supported Transportation Operations and Planning Center
• Files: UTC, RiP
• Created Date: Sep 23 2016 3:25PM