Phishing Data Collection

Phishing Data Collection is a systematic method for acquiring digital evidence and behavioral indicators specific to phishing attempts within the broader domain of threat data collection, distinguished by its focus on extracting and analyzing artifacts from fraudulent communications designed to deceive users into revealing sensitive information.

47

Publications

2.1K

Citations

168

Authors

54

Institutions

Publications per year

2017–2026

28

Authors

168

  1. RC
    Richard Clayton

    University of Kentucky, United States

    2 publications · 226 citations

    2

    h-index

  2. TM
    Tyler Moore

    University of Tulsa, United States

    2 publications · 226 citations

    2

    h-index

  3. PP
    Peng Peng

    Virginia Tech, United States

    2 publications · 151 citations

    2

    h-index

  4. AO
    Adam Oest

    PayPal (United States), United States

    1 publications · 37 citations

    2

    h-index

  5. DG
    Danilo Gentile

    Ingegneria dei Trasporti (Italy), Italy

    1 publications · 56 citations

    1

    h-index

1–5 of 168

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 39 citations

    2

    h-index

  2. IEEE Access

    2 publications · 307 citations

    2

    h-index

  3. Computers & Security

    2 publications · 85 citations

    2

    h-index

  4. 1

    h-index

  5. IEEE Transactions on Services Computing

    1 publications · 40 citations

    1

    h-index

1–5