Data sampling strategies for click fraud detection using imbalanced user click data of online advertising: an empirical review

D Sisodia, DS Sisodia - IETE Technical Review, 2022 - Taylor & Francis
In the pay-per-click online advertisement model, fraudulent publishers' presence is rare than
that of genuine publishers. This high-class imbalance between fraudulent and genuine …

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 …

The gaze and mouse signal as additional source for user fingerprints in browser applications

W Fuhl, D Weber, S Eivazi - arXiv preprint arXiv:2101.03793, 2021 - arxiv.org
In this work, we inspect different data sources for browser fingerprints. We show which
disadvantages and limitations browser statistics have and how this can be avoided with …

an ensemble architecture based on deep learning model for click fraud detection in Pay-Per-click advertisement campaign

A Batool, YC Byun - IEEE Access, 2022 - ieeexplore.ieee.org
With the rapid development of online advertising, click fraud is a serious issue for the
internet market. Click fraud is a dishonest attempt to improve a website's profit or deplete an …

Fake views removal and popularity on YouTube

M Castaldo, P Frasca, T Venturini, F Gargiulo - Scientific Reports, 2024 - nature.com
This paper analyses how YouTube authenticates engagement metrics and, more
specifically, how the platform corrects view counts by removing “fake views”(ie, views …

ClickGuard: Exposing hidden click fraud via mobile sensor side-channel analysis

C Shi, R Song, X Qi, Y Song, B Xiao… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Advertising income depends on the amount of clicks by users of websites and mobile
applications. However, the emergence of click fraud greatly reduces the real benefits of the …

A hybrid data‐level sampling approach in learning from skewed user‐click data for click fraud detection in online advertising

D Sisodia, DS Sisodia - Expert Systems, 2023 - Wiley Online Library
One of the challenging issues in user‐click data of online advertising is the uneven class
distribution which biases classification models. Resampling the data is a popular choice for …

The inventory is dark and full of misinformation: Understanding ad inventory pooling in the ad-tech supply chain

Y Vekaria, R Nithyanand… - 2024 IEEE Symposium on …, 2024 - ieeexplore.ieee.org
Ad-tech enables publishers to programmatically sell their ad inventory to millions of demand
partners through a complex supply chain. The complexity and opacity of the ad-tech supply …

[PDF][PDF] Browser fingerprint coding methods increasing the effectiveness of user identification in the web traffic

M Gabryel, K Grzanek, Y Hayashi - Journal of Artificial Intelligence and …, 2020 - sciendo.com
Web-based browser fingerprint (or device fingerprint) is a tool used to identify and track user
activity in web traffic. It is also used to identify computers that are abusing online advertising …

Dissecting click fraud autonomy in the wild

T Zhu, Y Meng, H Hu, X Zhang, M Xue… - Proceedings of the 2021 …, 2021 - dl.acm.org
Although the use of pay-per-click mechanisms stimulates the prosperity of the mobile
advertisement network, fraudulent ad clicks result in huge financial losses for advertisers …