Open AccessAdvertisement Click Fraud Detection
Author(s) -
D. Kesavan
Publication year - 2021
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit217375
Subject(s) - advertising , promotion (chess) , computer science , online advertising , click through rate , world wide web , web site , contextual advertising , web application , web page , crowdsourcing , internet privacy , the internet , business , political science , politics , law
Mobile ads are tormented with deceitful clicks that may be an important test for the advertising network. Albeit documented promotion systems utilize various methods to acknowledge click fraud, they don’t shield the client from conceivable intrigue among distributors and advertisement systems. What’s additional, promotion systems can’t screen the client’s action for click fraud location once they're entertained to the advertising web content following clicking the ad, i.e., in a web site there will be focuses or some specific spots after we click on the actual spot it'll be entertained to the advertising web site. We propose another publically support-based mostly framework referred to as Click Fraud Crowdsourcing (CFC) that works in conjunction with the two promoters and advertisement organizes therefore as to defend the two gatherings from any conceivable click dishonorable acts. The framework profits by each a worldwide view, wherever it accumulates various promotion demands examining to various advertising organize distributer publicist blends, and a nearby read, wherever it will follow the clients’ commitment in every advertising website.