Context-aware data-centric misbehaviour detection scheme for vehicular ad hoc networks using sequential analysis of the temporal and spatial correlation of the consistency between the cooperative awareness messages

Fuad A. Ghaleb, Mohd Aizaini Maarof, Anazida Zainal, Murad A. Rassam, Faisal Saeed, Mohammed Alsaedi

    Research output: Contribution to journalArticlepeer-review

    40 Citations (SciVal)
    Original languageEnglish
    Article number100186
    JournalVehicular Communications
    Volume20
    DOIs
    Publication statusPublished (VoR) - Dec 2019

    Funding

    This work was supported by the Ministry of Higher Education ( MOHE ) and Research Management Centre ( RMC ) at the Universiti Teknologi Malaysia (UTM) under Post-Doctoral Fellowship Scheme ( VOT Q.J130000.21A2.04E00 ). This work was supported by the Ministry of Higher Education (MOHE) and Research Management Centre (RMC) at the Universiti Teknologi Malaysia (UTM) under Post-Doctoral Fellowship Scheme (VOT Q.J130000.21A2.04E00).

    FundersFunder number
    Ministry of Higher Education (MOHE) and Research Management Centre
    RMC
    Research Management Centre
    Ministry of Higher Education
    Ministry of Higher Education, Malaysia
    Universiti Teknologi MalaysiaVOT Q.J130000.21A2.04E00

      Keywords

      • Context-aware misbehaviour detection
      • Cooperative Awareness Messages (CAMs)
      • Cooperative Intelligent Transportation System (CITS)
      • Vehicular ad hoc networks (VANETs)
      • Vehicular networks

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