Secure Scan -Analysis of Credit Card Fraud Detection Using Machine Learning

Secure Scan -Analysis of Credit Card Fraud Detection Using Machine Learning

Dr.N.Ramarao, Aditya Kumar Singh, G.Aditya Reddy, D.Adarsh, U.Aishwarya, S.Ajay Ray, O.Akanksha

Artificial Intelligence & Machine Learning

Department Of Artificial Intelligence & Machine Learning

Malla Reddy University, Hyderabad, Telangana, India

Abstract: Credit Card usage has been drastically increased across the world , now people believe in going cashless and are completely dependent on online transactions .The credit card has made the digital transaction easier and nowadays credit card frauds are drastically increasing in numbers compared to earlier times . A powerful fraud detection system is required to stop these frauds . Fraud detection is the process of monitoring the transaction behaviour of a cardholder to detect whether an incoming transaction is authentic and authorised or not otherwise it will be detected as illicit .Machine learning -based fraud detection systems rely on machine learning algorithms that can be trained with historical data and can perform classification , regression or finding the patterns among the data .

Keywords: Credit card machine learning , fraud detection ,historical data, algorithms.