The Planning Process of the Online Transaction Fraud Detection Using Backlogging on an E-Commerce Website

Abstract

E-commerce is defined as the selling and purchasing of products, as well as the transmission of data or payments, through an electronic network. E-commerce is driven by the internet, where customers can browse through an online store and place orders for items or services using their own devices. Online transactions are used by e-commerce businesses to charge customers for goods and services. The rising number of online transactions has increased the number of payment frauds. Payment fraud refers to any type of fraudulent or illegal transaction carried out by a cybercriminal. The criminal utilizes the internet to deprive the victim of money, personal property, or sensitive information. The objective of this research is to investigate the gaps in the existing online transaction fraud detection on e-commerce websites, to propose and develop an online transaction fraud detection using backlogging on e-commerce websites that is safe against fraud and enables simple and efficient transactions and implement security measures to prevent a breach of the proposed system. The method for this research is using the Waterfall methodology as a Software Development Life Cycle.