International Journal of Electronics Communication and Computer Engineering
In modern day the fraud is one of the major causes of great financial losses, not only for merchants, individual clients are also affected. In this paper, the authors develop a method which improves a credit card fraud detection solution currently being used in a bank .Improving a credit card fraud detection system using genetic algorithm three methods to detect fraud are presented. Cluster model is used to classify the legal and fraudulent transaction using data clusterization of regions of parameter value. Gaussian model is used to model the probability density of credit card user's past behavior to detect any abnormalities from the past behavior.