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.
Cite
@article{arxiv.1802.02480,
title = {Click Spam Prevention Model for On-Line Advertisement},
author = {Nicola Zingirian and Michele Benini},
journal= {arXiv preprint arXiv:1802.02480},
year = {2018}
}