Unscrambling Financial Fraud With AI and Machine Learning in E-Commerce Transactions

Abstract

Financial fraud is a widespread problem in e-commerce that affects a number of industries, including credit card handling and advertising clicks. The use of machine learning (ML) and artificial intelligence (AI) approaches to prevent fraud is the subject of research in these fields. Financial fraud presents significant challenges in e-commerce, as fraudsters continually develop their strategies to exploit weaknesses in fraudulent advertising click systems and credit card management. This chapter examines how AI and ML can be leveraged to enhance detection and prevention mechanisms in these critical areas. It outlines the scope and objectives of introductory research, providing a comprehensive overview of the increasing need for advanced technological solutions to combat financial fraud in e-commerce. This chapter comprehensively scans contemporary issues and patterns and suggests fresh approaches to reducing the risk of financial fraud through the use of AI and M in identifying and stopping fraudulent activity in e-commerce transactions.