Published Paper Details:

Abstract--Financial services are being used everywhere and function with high complexity. With the increase in the usage of online modes for transacting throughout the world it is seen that the frauds too are increasing alarmingly in this sector. An automated Fraud Detection System is thus required to tackle this issue. Over the years, many techniques are being tried in order to efficiently tackle this issue. With millions of transaction taking place it is practically impossible to take care of this by manually checking for frauds.With that being said, speed and accuracy is needed while building such systems. Our system provides better accuracy rather than only works in these areas but also which in-turn will end up saving a lot of resources and the cost incurred. Our aim with this research is to provide a robust, cost effective, efficient yet accurate solution to find or detect frauds in both online payment transactions and payments that take place with credit cards. The proposed solution is a Machine Learning model that will serve the purpose of detecting 'Fraudulent' and 'Genuine' transactions in real time. This is very beneficent to all the sectors that are even mildly aligned to finance or make use of it. The solution will help them to analyse based on different factors if the ongoingtransaction can be harmful and will prevent many unfortunate incidents. Index Terms--fraud detection, credit card, online payments, fraudulent, genuine.