Browser-based Phishing Detection

Browser-Based Phishing Detection is a computational method that identifies fraudulent websites by analyzing web content and behavior directly within the web browser environment to distinguish phishing pages from legitimate ones through real-time, client-side inspection mechanisms.

38

Publications

2.5K

Citations

120

Authors

51

Institutions

Publications per year

2017–2026

11

Authors

120

  1. SM
    Samuel Marchal

    Aalto University, Finland

    2 publications · 98 citations

    2

    h-index

  2. HW
    Haining Wang

    William & Mary, United States

    2 publications · 108 citations

    2

    h-index

  3. GA
    Giovanni Armano

    Aalto University, Finland

    2 publications · 98 citations

    2

    h-index

  4. GA
    Gail‐Joon Ahn

    Arizona State University, United States

    2 publications · 119 citations

    2

    h-index

  5. PL
    Pierre Laperdrix

    Université de Lille, France

    2 publications · 172 citations

    2

    h-index

1–5 of 120

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 51 citations

    3

    h-index

  2. Information and Computer Security

    ICS · 1 publications · 22 citations

    1

    h-index

  3. Information Security for South Africa

    Conference · 1 publications · 11 citations

    1

    h-index

  4. Scientific African

    1 publications · 32 citations

    1

    h-index

  5. IEEE Transactions on Computers

    1 publications · 85 citations

    1

    h-index

1–5