Cybersecurity Risk Assessment in Connected Intelligent Systems for Designing Resilient Systems [supporting dataset]

Abstract of the final report is stated below for reference: Transportation operation and management systems utilize wired and wireless communications for managing roadways and are at significant risk of cyberattacks. Furthermore, perfect protection from cyberattacks is not realistic. Thus, this research proposes to focus on analyzing the vulnerability of cooperative driving relying on infrastructure-based communication using real-field experimental data collected at the Aberdeen center in Maryland. Multiple cyberattacks and sensor anomalies were emulated using conditions from field experiments to test the consequences of different types of cyberattacks. Long short-term memory with Gaussian mixture (LAGMM) model were utilized to design efficient and effective anomaly detection method for accounting the temporal relations of trajectories, so that anomalous behavior can be detected in real-time and the severe consequences of cyberattack or sensor anomalies can be avoided. The research would help agencies in monitoring the cooperative driving environment for anomalous behavior.

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• Summary URL:
  • https://ppms.cit.cmu.edu/projects/detail/436
• Dataset URL:
  • https://github.com/ZKhattak11/Cybersecurity-Safety21
• Record URL:
  • https://ppms.cit.cmu.edu/media/project_files/Khattak_Zulqarnain_436r.pdf
• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/77498
• Dataset URL:
  • https://rosap.ntl.bts.gov/view/dot/77533
• Supplemental Notes:
  • The dataset supports report: Cybersecurity Risk Assessment in Connected Intelligent Systems for Designing Resilient Systems, available at the URL above. This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Carnegie Mellon University

  Department of Civil and Environmental Engineering
  5000 Forbes Avenue
  Pittsburgh, PA  United States  15213

  Safety21 University Transportation Center

  Carnegie Mellon University
  Pittsburgh, PA  United States  15213

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Khattak, Zulqarnain
  • 0000-0002-2599-4852
• Publication Date: 2024-7-31

Language

• English

Media Info

• Media Type: Dataset
• Dataset publisher:

  GitHub

  ,    

Subject/Index Terms

• TRT Terms: Computer security; Connected vehicles; Data; Flaw detection; Intelligent transportation systems; Mobile communication systems; Risk assessment; Sensors
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Security and Emergencies; Vehicles and Equipment;

Filing Info

• Accession Number: 01930291
• Record Type: Publication
• Contract Numbers: 69A3552344811
• Files: UTC, NTL, TRIS, USDOT
• Created Date: Sep 16 2024 8:54AM