Hybrid and Multifaceted Context-Aware Misbehavior Detection Model for Vehicular Ad Hoc Network

Fuad A. Ghaleb, Mohd Aizaini Maarof, Anazida Zainal, Bander Ali Saleh Al-Rimy, Faisal Saeed, Tawfik Al-Hadhrami

    Research output: Contribution to journalArticlepeer-review

    36 Citations (SciVal)
    Original languageEnglish
    Article number8888176
    Pages (from-to)159119-159140
    Number of pages22
    JournalIEEE Access
    Volume7
    DOIs
    Publication statusPublished (VoR) - 2019

    Funding

    This work was supported by the Ministry of Higher Education (MOHE) and the Research Management Centre (RMC) at the Universiti Teknologi Malaysia (UTM) under Postdoctoral Fellowship Scheme (VOT Q.J130000.21A2.04E00) jointly with Nottingham Trent University, Nottingham, U.K.

    FundersFunder number
    Research Management Centre
    Nottingham Trent University
    Ministry of Higher Education, Malaysia
    Universiti Teknologi MalaysiaVOT Q.J130000.21A2.04E00

      Keywords

      • context-Aware
      • false information attacks
      • Hampel Filter
      • Hybrid
      • Kalman Filter
      • misbehavior detection
      • vehicular ad hoc network (VANET)

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