Discovering Fraud in Credit Card by Genetic Programming

With the increasing use of credit cards in our day-to-day transaction, the credit card fraud has also increased for both online purchases and regular purchase. Due to rapid growth in E-Commerce, rise of fraud transaction is increasing in the mode of electronic payment system. Many efficient methods like sequence alignment, neural networks, fuzzy logic, machine learning, genetic programming, etc. are used to discover frauds in credit card transactions. The Genetic algorithm finds the optimal solution for the problem and implicitly generates the results. This algorithm is to develop a method for detecting fraudulent transaction. In this paper we tried to improve, optimize and use evolutionary search based on the principles of natural selection and genetic programming. It is also used to solve high complexity computational problems. It not only finds the detection of credit card fraud mechanism but also examine the results.