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 …
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 …
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
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 …
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
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 …
internet market. Click fraud is a dishonest attempt to improve a website's profit or deplete an …
Fake views removal and popularity on YouTube
This paper analyses how YouTube authenticates engagement metrics and, more
specifically, how the platform corrects view counts by removing “fake views”(ie, views …
specifically, how the platform corrects view counts by removing “fake views”(ie, views …
ClickGuard: Exposing hidden click fraud via mobile sensor side-channel analysis
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 …
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 …
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 …
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
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 …
activity in web traffic. It is also used to identify computers that are abusing online advertising …
Dissecting click fraud autonomy in the wild
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 …
advertisement network, fraudulent ad clicks result in huge financial losses for advertisers …