AN EFFICIENT CREDIT CARD FRAUD DETECTION TECHNIQUE USING GENETIC ALGORITHM.
Keywords:Electronic-Businessq, Electronic-Fraud, Capital loss, User behavior
Due to increasing use of internet for the past several years there has been seen a drastic increase in electronic business. Without any face to face interaction electronic-business is carried out. Many Electronic Payment system or modes are developed such as credit cards, debit card. This has resulted in Electronic-Frauds. And day-by-day electronic frauds are increasing rapidly, which causes capital loss to organizations as well as customers who uses credit cards and debit cards. This gave an urge to develop credit card fraud detection system. In this paper our goal is to reduce fraud effectively hence genetic algorithm is preferred. Based on number of iteration of user behaviour Genetic algorithm classifies the transaction as either Fraud or either authorized
S.Benson Edwin Raj, A. Annie Portia, Analysis on Credit Card Fraud Detection Methods, IEEE International Conference on Computer, Communication and Electrical Technology, IEEE March 2011.
Rinky D. Patel, Dheeraj Kumar Singh,” Credit Card Fraud Detection & Prevention of Fraud Using Genetic Algorithm ”, International Journal of Soft Computing and Engineering ISSN: 2231-2307, Volume-2, Issue-6, January 2013 .
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