Fraud Detection of AD Clicks Using Machine Learning Techniques

نویسندگان

چکیده

Although all businesses face the possibility of fraud, those that rely on internet advertising an especially high risk click which may lead to inaccurate statistics and unnecessary expenditures. The cost per for channels might skyrocket if enough people ads. Internet is becoming a significant revenue source many websites. Under this model, advertisers pay publisher flat rate each click-through from ad advertiser's site. Since spending much requires resources, term "click fraud" refers attack tactic in perpetrator repeatedly clicks single link sole purpose generating illicit revenue. By clicking pay-per-click (PPC) times using script, fraudsters trick online into paying never happened. We use variety methods identify fraud anytime human or computer program particular link, then ascertain whether clicker legitimate. This work provides machine-learning strategy predicting user will enable us distinguish between fraudulent legitimate and, therefore, users ones. have used KNN, SVC, Random Forest models purpose.

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ژورنال

عنوان ژورنال: Journal of Scientific Research and Reports

سال: 2023

ISSN: ['2320-0227']

DOI: https://doi.org/10.9734/jsrr/2023/v29i71762