Design & Analysis of Credit Card Fraud Detection Based On HMM
نویسندگان
چکیده
The growth of e-commerce increases the money transaction via electronic networks day by day which is designed for hassle free, fast & easy money transaction. But the facility involves greater risk of misuse of facility for fraud; one of them is credit card fraud. It can happen by many ways such as by stolen card, by Internet hackers who can hack your system & get important information about your card or by information leakage during the transaction. Although many people haven proposed their work for credit card fraud detection by characterizing the user spending profile, but in this paper we are proposing the HMM based method with multiple involvements and also including several fields of user profile instead of only spending profile & the simulation result shows improvement in TP (True Positive), TN (True Negative) rates and it also decreases the FP (False Positive) &FN (False Negative) rate.
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