Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Along with great increase in credit & ATM Card transactions, credit & ATM card fraud has become increasingly widespread in recent years. The proposed paper work investigates that the efficacy of applying DES & 3-DES algorithm is to prevent the credit card fraud problems. The different techniques & classification methods, i.e. des, 3-des, decision trees are tested for their applicability in counterfeit or fake detection. The proposed system provides a useful framework to detect & prevent a fraud & to choose the best model to recognize the credit & ATM card fraud risk. The newer proposals made in this paper are likely to have beneficial attributes in terms of security & authentication for recognition & prevention of fraudulent patterns.