Payment fraud detection using machine learning techniques

Abstract

Credit card usage for online transactions has expanded tremendously as a result of the development and quick expansion of E-Commerce, resulting in an explosion in credit card fraud. There are many tools available in online to generate fake credit card numbers. Most fraudsters use an online credit card to generate fake cards to use for gaming platforms and E-Commerce platforms. We can use machine learning techniques like random forest, logistic regression for improve fraud detection in credit cards. The primary goal of this project is to improve current fraud detection processes by better predictingfake accounts.