Phishing Protection

Phishing Protection is a security mechanism designed to detect, prevent, or mitigate unauthorized attempts to acquire sensitive consumer data through deceptive web-based communications by leveraging techniques such as URL analysis, content inspection, or machine learning models within browser or network environments.

434

Publications

25.7K

Citations

1.1K

Authors

456

Institutions

Publications per year

2017–2026

195

Authors

1.1K

  1. LF
    Lorrie Faith Cranor

    Carnegie Mellon University, United States

    10 publications · 3.2K citations

    10

    h-index

  2. JH
    Jason Hong

    Carnegie Mellon University, United States

    9 publications · 2.3K citations

    9

    h-index

  3. BB
    Brij B. Gupta

    National Institute of Technology Kurukshetra, India

    7 publications · 1.3K citations

    8

    h-index

  4. KL
    Kang Leng Chiew

    Universiti Malaysia Sarawak, Malaysia

    6 publications · 287 citations

    6

    h-index

  5. NA
    Nalin Asanka Gamagedara Arachchilage

    UNSW Sydney, Australia

    6 publications · 1K citations

    6

    h-index

1–5 of 1.1K

Venues

  1. Computers & Security

    15 publications · 948 citations

    14

    h-index

  2. Expert Systems with Applications

    9 publications · 878 citations

    9

    h-index

  3. Computers in Human Behavior

    6 publications · 871 citations

    6

    h-index

  4. IEEE Security & Privacy

    6 publications · 326 citations

    6

    h-index

  5. 4

    h-index

1–5