InSITE 2025: Informing Science + IT Education Conferences: Hiroshima

Jul 20 - 28 2025, Hiroshima, Japan 

Proceedings

Online ISSN: 1535-0703

Charles D Mitchell, Samuel Sambasivam
Aim/Purpose
The proliferation of online banking has led to a significant increase in identity theft and cybercrimes, creating an urgent need to develop more effective predictive models to detect and prevent such fraudulent activities using advanced technological approaches.

Background
This study addresses the critical gap in the existing literature by exploring how historical identity theft v ...
historical financial transactions, big data, machine learning, fraud detection, identity theft
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