Click Spam Prevention Model for Online Advertisement

Nicola Zingirian and Michele Benini Department of Information Engineering, University of Padova, Italy 

ABSTRACT 

This paper shows a vulnerability of the pay-per-click accounting of Google Ads and proposes a statistical tradeoff-based approach to manage this vulnerability. The result of this paper is a model to calculate the overhead cost per click necessary to protect the subscribers and a simple algorithm to implement this protection. Simulations validate the correctness of the model and the economical applicability. 

KEYWORDS 

Pay-per-click Advertising, Google Ads, Web Advertising, Click Spam, Web Security 

For More Details :http://aircconline.com/ijnsa/V10N1/10118ijnsa01.pdf