A Novel Fraud Detection System based on Intrusion Detection for E-Commerce applications Using Neural Network Models

Abstract

The idea of using the Internet to trade goods and services has grown in popularity at an exponential rate. Because of the Internet, online transactions have advanced significantly, removing the limitations of physical locations and currencies. The anonymity of the Internet, however, does not make it a perfect place for paying for things. With the rise of online transactions has come an equal and opposite rise in the frequency of assaults targeting the safety of online systems. Fraudulent transactions on auction sites and e-commerce online applications have been getting worse recently. Some of these fraudulent e-commerce transactions are the result of actual hacks into these websites. Unfortunately, despite widespread knowledge of these facts, no workable solution to the issue of application-based attacks in e-commerce has been found as of yet.