Detection of Credit Card Attackers using Machine Learning

Abstract

E-commerce or online shopping websites use electronic payment. This mode of payment has brought about a revolution in business and almost all industrial sectors. Any small-scale industries or start-ups take to online advertisements and business as a means to popularize their ideas with minimum investment. It has successfully flourished as one of the best methods of business. No business can be perfect online because everything comes with a prize, and in this case, it is mostly all the problems that arise with respect to online transactions which are mostly done by credit cards. This project presents a survey of various techniques used in credit card fraud detection mechanisms and evaluates each methodology based on certain design criteria.