Implementing Account Takeover and Phishing Detection Models to Mitigate E-Commerce Fraud

Abstract

The rise of e-commerce has rapidly changed the operating way of businesses, but simultaneously, it has opened up numerous avenues for fraud, it has been noticed through account takeovers and phishing attacks. These means of cybercrime can thus lead to a significant financial loss and reputation damage to online retailers. With the rising growth of online platforms comes the sophistication of fraudsters. One of the objectives behind this research is developing and analyzing models that can easily discover account takeovers and real-time phishing attempts on the systems to establish whether it is feasible to apply the high-end detection models integrated with machine learning techniques for dimming e-commerce frauds. The research consists of the following structure such as it features a literature review that provides a background overview of the problem then it consists of methods of how models are designed and evaluated. It also provides results on performance followed by discussions on effectiveness. It provides an overall outcome of the research to pinpoint key findings and directions for future research.