Click Fraud Detection

Click Fraud Detection is a fraud detection method that identifies illegitimate clicks on digital advertisements generated by automated scripts or malicious actors rather than genuine users, within the domain of Fraud Risk Analytics.

112

Publications

5.4K

Citations

357

Authors

138

Institutions

Publications per year

2017–2026

38

Authors

357

  1. AM
    Ahmed Metwally

    University of California, Santa Barbara, United States

    6 publications · 286 citations

    6

    h-index

  2. DS
    Deepti Sisodia

    National Institute of Technology Raipur, India

    6 publications · 146 citations

    6

    h-index

  3. DA
    Divyakant Agrawal

    University of California, Santa Barbara, United States

    4 publications · 251 citations

    4

    h-index

  4. CW
    Chamila Walgampaya

    University of Louisville, United States

    4 publications · 62 citations

    4

    h-index

  5. SG
    Saikat Guha

    University of Arizona, United States

    4 publications · 227 citations

    4

    h-index

1–5 of 357

Venues

  1. International Journal of Electronic Commerce

    IJEC · 2 publications · 38 citations

    2

    h-index

  2. Journal of Digital Forensic Practice

    2 publications · 92 citations

    2

    h-index

  3. IEEE Access

    2 publications · 42 citations

    2

    h-index

  4. ACM SIGCOMM Computer Communication Review

    CCR · 2 publications · 152 citations

    2

    h-index

  5. Security and Communication Networks

    2 publications · 36 citations

    2

    h-index

1–5