Secured Credit Card Transaction Using MCOP

Saravanan Sk () and Suresh Babu Gnk
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Saravanan Sk: Department of Computer Applications, Valliammai Engineering College, Chennai, Tamil Nadu, India
Suresh Babu Gnk: Department of MCA, Acharya Institute of Technology, Bengaluru, Karnataka, India

Journal of Internet Banking and Commerce, 2017, vol. 22, issue 02, 01-20

Abstract: With the improvement of changed correspondence systems, online payment exchanges and in addition web based business is spreading step by step. Additionally, the money related cheats related with these exchanges are likewise expanding which in this manner brings about significant budgetary misfortunes consistently comprehensively. Credit card extortion is drilled most every now and again among the changed money related cheats because of its acknowledgment and across the board use as it offers more accommodation to its clients. Monetary foundations, for example, banks require more advanced methods for recognizing misrepresentation. Budgetary fakes are frequently difficult to distinguish and break down as the deceitful conduct is changing, scattered in unmistakable client profiles, and spread crosswise over gigantic imbalanced genuine datasets (e.g. client spending profiles, web logs, exchange logs). Moreover, clients once in a while audit their web based keeping money history and thus are not ready to uncover the false exchanges at the ideal time. Likewise, because of the wide use of credit cards as a method of payment for acquiring merchandise and enterprises, there comes a need to decide if the exchanges made using a credit card is a substantial exchange done via card holder or it is a deceitful exchange done by the fraudster. To stay away from or control the online extortion this review presents another method Multi Combination of Password Technique (MCOP).

Keywords: MCOP; Data Mining; Credit Card; Fraud (search for similar items in EconPapers)
JEL-codes: A11 (search for similar items in EconPapers)
Date: 2017
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