An optimized stacking ensemble model for phishing websites detection

Mohammed Al-Sarem, Faisal Saeed*, Zeyad Ghaleb Al-Mekhlafi*, Badiea Abdulkarem Mohammed, Tawfik Al-Hadhrami*, Mohammad T. Alshammari, Abdulrahman Alreshidi, Talal Sarheed Alshammari

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    35 Citations (SciVal)
    Original languageEnglish
    Article number1285
    JournalElectronics (Switzerland)
    Volume10
    Issue number11
    DOIs
    Publication statusPublished (VoR) - 1 Jun 2021

    Funding

    Acknowledgments: We would like to acknowledge the Scientific Research Deanship at the University of Ha’il, Saudi Arabia, for funding this research. Funding: This research has been funded by the Scientific Research Deanship at the University of Ha’il, Saudi Arabia, through project number RG-20 023.

    FundersFunder number
    University of HailRG-20 023

      Keywords

      • Ensemble classifiers
      • Genetic algorithm
      • Optimization methods
      • Phishing websites

      Fingerprint

      Dive into the research topics of 'An optimized stacking ensemble model for phishing websites detection'. Together they form a unique fingerprint.

      Cite this