Click Spam Prevention Model for On-Line Advertisement

02/07/2018
by   Nicola Zingirian, et al.
0

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.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 12

02/22/2020

HarDNN: Feature Map Vulnerability Evaluation in CNNs

As Convolutional Neural Networks (CNNs) are increasingly being employed ...
01/24/2019

OAuthGuard: Protecting User Security and Privacy with OAuth 2.0 and OpenID Connect

Millions of users routinely use Google to log in to websites supporting ...
01/04/2019

V-Fuzz: Vulnerability-Oriented Evolutionary Fuzzing

Fuzzing is a technique of finding bugs by executing a software recurrent...
09/08/2020

Technical Report: Gone in 20 Seconds – Overview of a Password Vulnerability in Siemens HMIs

Siemens produce a range of industrial human machine interface (HMI) scre...
03/17/2020

Vulnerability Assessment on Spatial Networks: Models and Solutions

In this paper we present a collection of combinatorial optimization prob...
07/06/2020

Computational Complexity Characterization of Protecting Elections from Bribery

The bribery problem in election has received considerable attention in t...
03/09/2021

Cybersecurity in Robotics: Challenges, Quantitative Modeling, and Practice

Robotics is becoming more and more ubiquitous, but the pressure to bring...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.