Title
CATCH: A detecting algorithm for coalition attacks of hit inflation in internet advertising
Abstract
As the Internet flourishes, online advertising becomes essential for marketing campaigns for business applications. To perform a marketing campaign, advertisers provide their advertisements to Internet publishers and commissions are paid to the publishers of the advertisements based on the clicks made for the posted advertisements or the purchases of the products of which advertisements posted. Since the payment given to a publisher is proportional to the amount of clicks received for the advertisements posted by the publisher, dishonest publishers are motivated to inflate the number of clicks on the advertisements hosted on their web sites. Since the click frauds are critical for online advertising to be reliable, the online advertisers make the efforts to prevent them effectively. However, the methods used for click frauds are also becoming more complex and sophisticated.
Year
DOI
Venue
2011
10.1016/j.is.2011.04.001
Information Systems
Keywords
Field
DocType
Click fraud,Hit inflation,Coalition attack,Internet advertising,Graph mining,Data mining
Data mining,Internet privacy,Computer science,Algorithm,Online advertising,Click fraud,Payment,Inflation,The Internet
Journal
Volume
Issue
ISSN
36
8
0306-4379
Citations 
PageRank 
References 
2
0.36
24
Authors
3
Name
Order
Citations
PageRank
Chulyun Kim11057.77
Hui Miao2597.53
Kyuseok Shim35120752.19