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Online Payment Fraud Detection using Machine Learning

Aug 2026 · International Journal of Web Technology · 0 citations · 12 references

Abstract

In the current digital era, online payment platforms have grown essential for individual and commercial exchanges, rendering them attractive targets for cyber offenders. This research aims to develop a comprehensive solution to detect phishing links and prevent fraudulent transactions, with a particular focus on phishing attacks facilitated through malicious links, so we Utilizing advanced machine learning algorithms to detect phishing links, regarding this, we include one extension into the browser once we switch ON the extension, which will automatically analyze URLs shared across social media platforms, such as WhatsApp and Telegram, Instagram, etc., to determine their reliability and origin of the link. Upon detecting a potentially fraudulent or phishing link, users will be blocked from proceeding to the site and redirected to a warning using this extension to secure the user.

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