Phishing Classification

Phishing Classification is a systematic method within cybersecurity research that distinguishes and categorizes phishing incidents based on their technical, behavioral, or contextual attributes to support threat analysis, intelligence gathering, and incident response.

151

Publications

7K

Citations

416

Authors

158

Institutions

Publications per year

2017–2026

99

Authors

416

  1. FT
    Fadi Thabtah

    Manukau Institute of Technology, New Zealand

    7 publications · 444 citations

    7

    h-index

  2. YI
    Youssef Iraqi

    Khalifa University of Science and Technology, United Arab Emirates

    6 publications · 179 citations

    6

    h-index

  3. MK
    Mahmoud Khonji

    Khalifa University of Science and Technology, United Arab Emirates

    6 publications · 179 citations

    6

    h-index

  4. AJ
    Andrew Jones

    Khalifa University of Science and Technology, United Arab Emirates

    4 publications · 119 citations

    4

    h-index

  5. JA
    Jemal Abawajy

    Deakin University, Australia

    4 publications · 89 citations

    4

    h-index

1–5 of 416

Venues

  1. IEEE Access

    4 publications · 240 citations

    4

    h-index

  2. Applied Soft Computing

    3 publications · 239 citations

    3

    h-index

  3. Procedia Computer Science

    3 publications · 185 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 3 publications · 66 citations

    3

    h-index

  5. Journal of Information & Knowledge Management

    3 publications · 64 citations

    3

    h-index

1–5