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Next-Gen Phishing Defense Enhancing Detection With Machine Learning and Expert Whitelisting/Blacklisting

Author

Listed:
  • Abdelraouf Ishtaiwi

    (Data Science and Artificial Intelligence, University of Petra, Amman, Jordan)

  • Ali Mohd Ali

    (Communications and Computer Engineering Department, Faculty of Engineering, AlAhliyya Amman University, Jordan)

  • Ahmad Al-Qerem

    (Zarqa University, Jordan)

  • Mohammad Sabahean

    (Computer Science Department, Faculty of Information Technology, Zarqa University, Jordan)

  • Bilal Alzubi

    (Information Technology College, Computer Science Department, Jerash Private University, Jordan)

  • Ammar Almomani

    (School of Computing, Skyline University College, Sharjah, UAE)

  • Mohammad Alauthman

    (Department of Information Security, Faculty of Information Technology, University of Petra, Amman, Jordan)

  • Amjad Aldweesh

    (College of Computing and IT, Shaqra University, Saudi Arabia)

  • Mohammad A. Al Khaldy

    (Department of Business Intelligence and Data Analytics, University of Petra, Amman, Jordan)

Abstract

Machine learning has become ubiquitous across industries for its ability to uncover in- sights from data. This research explores the application of machine learning for identifying phishing websites. The efficiency of different algorithms at classifying malicious sites is evaluated and contrasted. By exposing the risks of phishing, the study aims to develop reliable systems for fake website detection. The results showcase machine learning's capabilities for augmented cybersecurity through automated threat intelligence. Phishing employs social engineering techniques to disguise malicious links as trusted entities, tricking victims into revealing sensitive information. This work investigates phishing detection leveraging curated lists and machine learning for adaptive defense.

Suggested Citation

  • Abdelraouf Ishtaiwi & Ali Mohd Ali & Ahmad Al-Qerem & Mohammad Sabahean & Bilal Alzubi & Ammar Almomani & Mohammad Alauthman & Amjad Aldweesh & Mohammad A. Al Khaldy, 2024. "Next-Gen Phishing Defense Enhancing Detection With Machine Learning and Expert Whitelisting/Blacklisting," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 14(1), pages 1-17, January.
    • Handle: RePEc:igg:jcac00:v:14:y:2024:i:1:p:1-17
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