[HTML][HTML] A hybrid and effective learning approach for click fraud detection

GS Thejas, S Dheeshjith, SS Iyengar… - Machine Learning with …, 2021 - Elsevier
Click Fraud is a fraudulent act of clicking on pay-per-click advertisements to increase the
site's revenue or to drain revenue from the advertiser. This illegal act has been putting …

Deep learning-based model to fight against ad click fraud

GS Thejas, KG Boroojeni, K Chandna, I Bhatia… - Proceedings of the …, 2019 - dl.acm.org
Click fraud is a fast-growing cyber-criminal activity with the aim of deceptively clicking on the
advertisements to make the profit to the publisher or cause loss to the advertiser. Due to the …

GFD: A weighted heterogeneous graph embedding based approach for fraud detection in mobile advertising

J Hu, T Li, Y Zhuang, S Huang… - Security and …, 2020 - Wiley Online Library
Online mobile advertising plays a vital role in the mobile app ecosystem. The mobile
advertising frauds caused by fraudulent clicks or other actions on advertisements are …

Image CAPTCHA: Based on human understanding of real world distances

R Aadhirai, PJS Kumar… - 2012 4th International …, 2012 - ieeexplore.ieee.org
We propose a Completely Automated Public Turing Test to Tell Computers and Humans
Apart scheme based on a human's understanding of real world objects and their relative …

Data sampling methods for analyzing publishers conduct from highly imbalanced dataset in web advertising

D Sisodia, DS Sisodia - … on information systems and management Science, 2021 - Springer
Due to the involvement of a huge amount of expenditure, the Pay-per-Click digital
advertising model is affected by click fraud. The rare presence of illegitimate publishers than …

Multimodal and contrastive learning for click fraud detection

W Li, Q Zhong, Q Zhao, H Zhang, X Meng - arxiv preprint arxiv …, 2021 - arxiv.org
Advertising click fraud detection plays one of the vital roles in current E-commerce websites
as advertising is an essential component of its business model. It aims at, given a set of …

A Tensor Based Approach for Click Fraud Detection on Online Advertising Using BiLSTM and Attention based CNN

B Joy, VR Deepthi - 2023 International Conference on Self …, 2023 - ieeexplore.ieee.org
Online advertising is an effective way for businesses to reach a larger audience, generate
leads and increase brand awareness, as the majority of people spend a significant amount …

An EM algorithm for click fraud detection

X Zhu, D Huang, R Pan, H Wang - Available at SSRN 2695953, 2015 - papers.ssrn.com
This paper is concerned with the problem of click fraud detection. We assume each visitor of
a website carries a latent indicator, which labels him/her as a regular or malicious user …

[PDF][PDF] An Advertising Fraud Detection Method based on Automatic Feature Mining of Time Series Data

S Wang, K Yang, T Wang - International Core Journal of Engineering, 2021 - icj-e.org
With the continuous development of the mobile Internet, the digital advertising marketing
market is also showing a trend of vigorous development. The market scale is increasing year …

Automated bidding on auctioned content

SB Griggs, DT Stadler III, RM Teachout III… - US Patent …, 2023 - Google Patents
Abstract Systems, methods, and computer-readable media (transitory and non-transitory)
are provided herein for automated bidding on auctioned online content. In various …