Phishing Detection

Phishing Detection is a cybersecurity methodology that identifies deceptive electronic communications by analyzing behavioral, syntactic, and semantic indicators to distinguish malicious phishing attempts from legitimate messages.

1.2K

Publications

72K

Citations

3K

Authors

999

Institutions

Publications per year

2017–2026

750

Authors

3K

  1. BB
    Brij B. Gupta

    National Institute of Technology Kurukshetra, India

    20 publications · 2.8K citations

    16

    h-index

  2. LF
    Lorrie Faith Cranor

    Carnegie Mellon University, United States

    17 publications · 5.1K citations

    16

    h-index

  3. RS
    Routhu Srinivasa Rao

    National Institute of Technology Karnataka, India

    15 publications · 1.2K citations

    15

    h-index

  4. JH
    Jason Hong

    Carnegie Mellon University, United States

    15 publications · 4.6K citations

    15

    h-index

  5. AK
    Ankit Kumar Jain

    National Institute of Technology Kurukshetra, India

    16 publications · 1.8K citations

    15

    h-index

1–5 of 3K

Venues

  1. IEEE Access

    37 publications · 3.4K citations

    32

    h-index

  2. Computers & Security

    36 publications · 2.5K citations

    31

    h-index

  3. Expert Systems with Applications

    20 publications · 2.8K citations

    17

    h-index

  4. arXiv (Cornell University)

    Repository · 26 publications · 591 citations

    16

    h-index

  5. Procedia Computer Science

    15 publications · 842 citations

    13

    h-index

1–5