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Click Spam Prevention Model for Online Advertisement

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Author :  Nicola Zingirian and Michele Benini

Affiliation :  University of Padova

Country :  Italy

Category :  Software Engineering & Security

Volume, Issue, Month, Year :  10, 1, January, 2018

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.

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

URL :  https://aircconline.com/ijnsa/V10N1/10118ijnsa01.pdf

User Name : Brendon Clarke
Posted 05-02-2025 on 22:58:03 AEDT



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