Artificial Intelligence based Credit Card Fraud Identification using Fusion Method

Abstract

Increase of online transactions has given a greater scope for increasing of credit card frauds. In this work we develop a general framework with Artificial Intelligence based Hadoop. Also that fuses multiple detection algorithms to improve accuracy, reliability. Further to support large amount of transactions storage. The workflow satisfies the design ideas of current credit card fraud identification systems. The verification process for all the transactions is implemented. If incoming transaction that passed through trained model with low probability then it is rejected.