Uncertainty Quantification of Cyber Attacks at Intelligent Traffic Signals

Description: The primary goal for the project is to develop, and validate detection models for system control failures involving connected vehicle applications. The secondary goal is to establish long-term collaborative research between the C2M2 partners and Benedict College to provide re-search and career opportunities for underrepresented minority students. To achieve these goals, the following objectives are identified: We anticipate the proposed research will lead to significant levels of collaborative research, including large multi-institutional grants that will be needed to help the state of South Carolina become the ‘silicon valley’ of the South East in vehicular and manufacturing technology. Intellectual Merit: (1) Develop an appropriate system model representation, including a characterization of a set of anomalies; (2) Develop predictive methods and training sets such that anomalies can be classified quickly by vehicles or edge nodes; and (3) Create a working group of interested faculty and students at participating universities to engage undergraduate students in educational activities that are synergistic and supportive of the proposed projects goals and objectives. Broader Impacts: The models developed in this proposed research can be extended to autonomous vehicles, different traffic systems as well as complexity of these systems. Although signalized networks are focused in this project, any other CV application can be analyzed similarly: vulnerabilities can be identified and detection tools/sensors can be deployed for a reliable application.

• Record URL:
  https://cecas.clemson.edu/C2M2/uncertainty-quantification-of-cyber-attacks-on-connected-vehicles-and-infrastructure-final-report/
• Supplemental Notes:
  • Final Report, Part I has been published. Part II still in progress as of June 2020.

Language

• English

Project

• Status: Completed
• Funding: $103300
• Contract Numbers:

  69A3551747117

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

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

  Clemson University

  110 Lowry Hall
  Box 340911
  Clemson, SC  United States  29634-0911

  Benedict College

  1600 Harden Street
  Columbia, South Carolina  United States  29204

  Center for Connected Multimodal Mobility

  Clemson University
  Clemson, SC  United States  29634
• Managing Organizations:

  Clemson University

  110 Lowry Hall
  Box 340911
  Clemson, SC  United States  29634-0911
• Project Managers:

  Martin, James

• Performing Organizations:

  Clemson University

  110 Lowry Hall
  Box 340911
  Clemson, SC  United States  29634-0911

  Benedict College

  1600 Harden Street
  Columbia, South Carolina  United States  29204
• Principal Investigators:

  Martin, James

  Comert, Gurcan

• Start Date: 20180101
• Expected Completion Date: 20200731
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Connected vehicles; Detection and identification systems; Traffic signal controllers; Traffic signal hardware
• Identifier Terms: Security Threat Assessment
• Subject Areas: Data and Information Technology; Operations and Traffic Management; Security and Emergencies;

Filing Info

• Accession Number: 01689028
• Record Type: Research project
• Source Agency: Center for Connected Multimodal Mobility
• Contract Numbers: 69A3551747117
• Files: UTC, RIP
• Created Date: Dec 18 2018 11:51AM