Credit Card Fraud Detection & Prevention of Fraud using Genetic Algorithm
Rinky D. Patel1, Dheeraj Kumar Singh2
1Rinky D.Patel, Information Technology, Parul Institute of Engg. & Tech., Gujarat Technological University, Gujarat, India.
2Dheeraj Kumar Singh, Information Technology, Parul Institute of Engg. & Tech., Gujarat Technological University, Gujarat, India.
Manuscript received on January 01, 2013. | Revised Manuscript received on January 02, 2013. | Manuscript published on January 05, 2013. | PP: 292-294 | Volume-2, Issue-6, January 2013. | Retrieval Number: F1189112612/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Companies and institutions move parts of their business, or the entire business, towards online services providing e-commerce, information and communication services for the purpose of allowing their customers better efficiency and accessibility. Payment card fraud has become a serious problem throughout the world. Companies and institutions loose huge amounts annually due to fraud and fraudsters continuously seek new ways to commit illegal actions. In this we will try to detect fraudulent transaction through the with the genetic algorithm. Genetic algorithm are used for making the decision about the network topology, number of hidden layers, number of nodes that will be used in the design of neural network for our problem of credit card fraud detection.
Keywords: Credit cards; Credit card fraud detection; Artificial neural networks; Genetic algorithm.