Machine Learning Based Secure Digital Transactions

The credit card fraud detection is used to detect the credit card was on the mode like the detection occurs only after the complaint of the card holder about fraud done.It is not a convenient way to avoid the loss happens to the card holder.After getting the complaint they detected the fraud on the basis of the IP address.For this they need the help of the Cyber crime to detect the fraud and make action on it.The proposed method aims to prevent credit card fraud during online purchases by implementing multi-level authentication.Users register and log in to the system to make purchases and payments via credit cards.The application allows users to set a purchase threshold, and if a transaction exceeds this limit, it triggers a multi-level verification process.This includes answering a security question followed by OTP verification via email.If the user fails these checks, the card is automatically blocked, ensuring secure.The another verification process is done by using the method as pattern matching.The pattern matching is one of the familiar method in machine learning algorithm is used to verify the security question ask in the childhood name as match in the stored data.If its match, the user proceeds purchase process completion with the help of their Customized Threshold Limit Estimation.