A Fuzzy-Based Context-Aware Misbehavior Detecting Scheme for Detecting Rogue Nodes in Vehicular Ad Hoc Network

Fuad A. Ghaleb, Faisal Saeed, Eman H. Alkhammash, Norah Saleh Alghamdi*, Bander Ali Saleh Al-Rimy

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    9 Citations (SciVal)
    Original languageEnglish
    Article number2810
    JournalSensors (Switzerland)
    Volume22
    Issue number7
    DOIs
    Publication statusPublished (VoR) - 1 Apr 2022

    Funding

    Funding: This work is supported by Taif University Researchers Supporting Project number (TURSP-2020/292), Taif University, Taif, Saudi Arabia. In addition, this research was funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University through the Fast-track Research Funding Program to support publication in the top journal (Grant no. 42-FTTJ-94). Acknowledgments: The authors would like to acknowledge Taif University Researchers Supporting Project number (TURSP-2020/292), Taif University, Taif, Saudi Arabia. In addition, this research was funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University through the Fast-track Research Funding Program to support publication in the top journal (Grant No. 42-FTTJ-94).

    FundersFunder number
    Deanship of Scientific Research at Princess Nourah bint Abdulrahman University42-FTTJ-94
    Taif UniversityTURSP-2020/292

      Keywords

      • context uncertainty
      • context-aware
      • fuzzy inference system
      • misbehavior detection
      • VANET

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