AI-based techniques for Ad click fraud detection and prevention: Review and research directions

RA Alzahrani, M Aljabri - Journal of Sensor and Actuator Networks, 2022‏ - mdpi.com
Online advertising is a marketing approach that uses numerous online channels to target
potential customers for businesses, brands, and organizations. One of the most serious …

[HTML][HTML] Click fraud in digital advertising: A comprehensive survey

S Sadeghpour, N Vlajic - Computers, 2021‏ - mdpi.com
Recent research has revealed an alarming prevalence of click fraud in online advertising
systems. In this article, we present a comprehensive study on the usage and impact of bots …

[PDF][PDF] A new method for automatic determining of the DBSCAN parameters

A Starczewski, P Goetzen, MJ Er - Journal of Artificial Intelligence and …, 2020‏ - sciendo.com
Clustering is an attractive technique used in many fields in order to deal with large scale
data. Many clustering algorithms have been proposed so far. The most popular algorithms …

[PDF][PDF] A novel grid-based clustering algorithm

A Starczewski, MM Scherer, W Ksiek… - Journal of Artificial …, 2021‏ - sciendo.com
Data clustering is an important method used to discover naturally occurring structures in
datasets. One of the most popular approaches is the grid-based concept of clustering …

Making up audience: Media bots and the falsification of the public sphere

RM Santini, D Salles, G Tucci, F Ferreira… - Communication …, 2020‏ - Taylor & Francis
The purpose of this paper is to discuss if and how Brazilian media outlets make use of
automated strategies and artificial intelligence (AI) in order to produce convenient social …

BCFDPS: A Blockchain‐Based Click Fraud Detection and Prevention Scheme for Online Advertising

Q Lyu, H Li, R Zhou, J Zhang, N Zhao… - Security and …, 2022‏ - Wiley Online Library
Online advertising, which depends on consumers' click, creates revenue for media sites,
publishers, and advertisers. However, click fraud by criminals, ie, the ad is clicked either by …

A hybrid approach for identifying non-human traffic in online digital advertising

S Almahmoud, B Hammo, B Al-Shboul… - Multimedia Tools and …, 2022‏ - Springer
Click fraud is a serious problem facing online advertising business. The malicious intent of
clicking online ads either committed by humans or by non-humans, forced financial losses …

Determining the EPS parameter of the DBSCAN algorithm

A Starczewski, A Cader - Artificial Intelligence and Soft Computing: 18th …, 2019‏ - Springer
Clustering is an attractive technique used in many fields and lots of clustering algorithms
have been proposed so far. The Density-Based Spatial Clustering of Applications with Noise …

Crowdsourcing for click fraud detection

R Mouawi, IH Elhajj, A Chehab, A Kayssi - EURASIP Journal on …, 2019‏ - Springer
Mobile ads are plagued with fraudulent clicks which is a major challenge for the advertising
community. Although popular ad networks use many techniques to detect click fraud, they do …

[PDF][PDF] A Survey on Online Advertising and Click fraud detection

N Gohil, AD Meniya - 2nd national conference on research trends …, 2020‏ - researchgate.net
In today's scenario, web advertising has a very important role for promotion of any business
through keywords. And due to this the capacity of click fraud to impact business models …