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Click Spam Prevention Model for On-Line Advertisement

02/07/2018

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by Nicola Zingirian, et al.

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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.

Nicola Zingirian
1 publication
Michele Benini
1 publication

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