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
Parents
112
A Survey of Botnet and Botnet Detection
Maryam Feily, Alireza Shahrestani, Sureswaran Ramadass · 2009 · 381 citations
Zhou Li, Kehuan Zhang, Yinglian Xie et al. · 2012 · 218 citations
Business, Cybersecurity, Marketing +11
Kenneth C. Wilbur, Yi Zhu · Marketing Science · 2008 · 166 citations
Neil Daswani, Michael Stoppelman · 2007 · 157 citations
1–5 of 112
357
6
h-index
6
h-index
University of California, Santa Barbara, United States
4 publications · 251 citations
4
h-index
4
h-index
4
h-index
1–5 of 357
138
National Institute of Technology Raipur
Raipur, India
6 h-index
20 publications
470 citations
Indiana University Bloomington
Bloomington, United States
5 h-index
15 publications
1.2K citations
University of California, Santa Barbara
Santa Barbara, United States
5 h-index
15 publications
999 citations
Microsoft Research (India)
Bengaluru, India
4 h-index
4 publications
227 citations
Google (United States)
Mountain View, United States
4 h-index
7 publications
592 citations
Microsoft (United States)
Redmond, United States
4 h-index
8 publications
340 citations
Siddaganga Institute of Technology
Tumakuru, India
3 h-index
4 publications
147 citations

University of Louisville
Louisville, United States
3 h-index
10 publications
162 citations
1–8 of 138
IJEC · 2 publications · 38 citations
2
h-index
2 publications · 92 citations
2
h-index
2 publications · 42 citations
2
h-index
CCR · 2 publications · 152 citations
2
h-index
2 publications · 36 citations
2
h-index
1–5