Filtering Malicious Messages by Trust-Aware Cognitive Routing in Vehicular Ad Hoc Networks

Vehicular Ad hoc Networks (VANET), as an inseparable part of Intelligent Transportation Systems (ITS), enable data communication between vehicles to promote road safety and traffic efficiency. But adversaries can also spread false information across these networks. Therefore, vehicles’ cognitive capabilities with respect to received data must be improved. This requires spatial intelligence and a mechanism to evaluate the trustworthiness of received data. But the dynamic nature of VANETs with intermittent connections, lack of infrastructure and real-time constraints make fulfilling this task very challenging. In this paper, the authors propose a trust-aware cognitive framework that exploits the redundancies in the exchanged DENM and CAM packets as well as spatial intelligence to filter malicious messages and prevent attackers from disrupting network operation. A novel supplementary mechanism is also presented that applies subjective logic on the pieces of information collected from all network vehicles to detect and isolate malicious entities. To assess the reliability of the proposed scheme, they made extensive comparisons between their model and two others. In the obtained results, their approach outperformed both of them and yielded an accuracy of over 90%, even when 50% of network participants were attackers. The authors' supplementary malicious node detection mechanism similarly yielded high accuracy and F1 scores in the simulations.

• Record URL:
  http://dx.doi.org/10.1109/TITS.2022.3191634
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2023, IEEE.
• Authors:
  • Mirzadeh, Ida
  • Haghighi, Mohammad Sayad
  • Jolfaei, Alireza
• Publication Date: 2023-1

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1134-1143
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 24
  • Issue Number: 1
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Computer security; Data communications; Intelligent transportation systems; Vehicular ad hoc networks
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01883712
• Record Type: Publication
• Files: TRIS
• Created Date: May 25 2023 5:41PM