Everything about Click fraud
Type of fraud in online advertising
Click fraud is a type of ad fraud that occurs on the Internet in pay-per-click (PPC) online advertising. In this type of advertising, the owners of websites that post the ads are paid based on how many site visitors click on the ads. Fraud occurs when a person, automated script, computer program, or an auto clicker imitates a legitimate user of a web browser, clicking on such an ad without having an actual interest in the target of the ad's link to increase revenue. Click fraud is the subject of some controversy and increasing litigation due to the advertising networks being a key beneficiary of the fraud. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Click fraudA 5-minute orientation
- Skim a recent paper: AI-Based Techniques for Ad Click Fraud Detection and Prevention: Review and Research DirectionsInfluential work since 2022
- Pick up a classic book: Issues In Internet LawThe most-reprinted book on the subject
- Read the landmark paper: Click FraudCited 143 times
- Go sideways: Pay-per-clickA closely related topic
- Go sideways: Ad fraudA closely related topic
📖 Definitions
Noun A type of fraud in which a computer program is used to simulate mouse clicks on advertisements, driving revenue to the advertiser, who is paid per click.
🏆 Landmark papers (most cited)
Click Fraud
Fighting online click-fraud using bluff ads
Light GBM Machine Learning Algorithm to Online Click Fraud Detection
The Economics of Click Fraud
Click Fraud in Digital Advertising: A Comprehensive Survey
Click Fraud
Click fraud detection for online advertising using machine learning
A hybrid and effective learning approach for Click Fraud detection
🆕 Influential since 2022
AI-Based Techniques for Ad Click Fraud Detection and Prevention: Review and Research Directions
An Ensemble Architecture Based on Deep Learning Model for Click Fraud Detection in Pay-Per-Click Advertisement Campaign
Ad Click Fraud Detection Using Machine Learning and Deep Learning Algorithms
A transfer learning framework towards identifying behavioral changes of fraudulent publishers in pay-per-click model of online advertising for click fraud detection
Quad division prototype selection-based k-nearest neighbor classifier for click fraud detection from highly skewed user click dataset
📚 Books worth reading
Issues In Internet LawKeith B. Darrell · 2010
Doing Data ScienceRachel Schutt, Cathy O'Neil · 2013
The global cybercrime industryNir Kshetri · 2010- 📕Click Fraud @ Sonic PingOrlando Stephenson · 2019
- 📕Click Fraud - Analyse und Methode Zur IdentifzierungOtto Diesenbacher · 2012
- 📕Understanding Click Fraud (Synthesis Lectures on Information Security, Privacy, and Trust)Markus Jakobsson · 2007
Predictive analyticsEric Siegel · 2016- 📕Security and risk online · 2016
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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