Malicious Advertisement Detection

Malicious Advertisement Detection is a client-side security mechanism that identifies and blocks adversarial online advertisements containing exploit code or phishing content before they compromise end-user systems.

64

Publications

3.1K

Citations

221

Authors

105

Institutions

Publications per year

2017–2026

31

Variants

Malvertising Detection

Authors

221

  1. ZQ
    Zhiyun Qian

    University of California, Riverside, United States

    4 publications · 115 citations

    4

    h-index

  2. ZS
    Zubair Shafiq

    University of Iowa, United States

    4 publications · 115 citations

    4

    h-index

  3. RP
    Roberto Perdisci

    Georgia Institute of Technology, United States

    3 publications · 152 citations

    3

    h-index

  4. AK
    Alexandros Kapravelos

    North Carolina State University, United States

    3 publications · 286 citations

    3

    h-index

  5. SZ
    Shitong Zhu

    University of California, Riverside, United States

    3 publications · 70 citations

    3

    h-index

1–5 of 221

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 233 citations

    4

    h-index

  2. ACM SIGCOMM Computer Communication Review

    CCR · 2 publications · 152 citations

    2

    h-index

  3. Computer Networks

    2 publications · 108 citations

    2

    h-index

  4. Information Systems

    1 publications · 11 citations

    1

    h-index

  5. Information Sciences

    1 publications · 14 citations

    1

    h-index

1–5