Misbehavior-aware on-demand collaborative intrusion detection system using distributed ensemble learning for VANET

Fuad A. Ghaleb*, Faisal Saeed, Mohammad Al-Sarem, Bander Ali Saleh Al-Rimy*, Wadii Boulila, A. E.M. Eljialy, Khalid Aloufi, Mamoun Alazab

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    64 Citations (SciVal)
    Original languageEnglish
    Article number1411
    Pages (from-to)1-17
    Number of pages17
    JournalElectronics (Switzerland)
    Volume9
    Issue number9
    DOIs
    Publication statusPublished (VoR) - Sept 2020

    Funding

    Our deep gratitude is extended to the Ministry of Higher Education (MOHE), Malaysian International Scholarship (MIS), and Cybersecurity Research Lab, School of Computing, Faculty of Engineering at the Universiti Teknologi Malaysia (UTM) for their unlimited support throughout this study.

    FundersFunder number
    Ministry of Higher Education
    Universiti Teknologi Malaysia

      Keywords

      • Collaborative intrusion detection system
      • Distributed ensemble learning
      • Misbehavior detection
      • VANET
      • Vehicular ad hoc network

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