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dc.contributor.authorRAHMAN, S. M. ASIFUR
dc.contributor.authorJHAHAN, NUSRATH
dc.date.accessioned2018-08-19T05:09:31Z
dc.date.available2018-08-19T05:09:31Z
dc.date.issued2018-05
dc.identifier.urihttp://hdl.handle.net/20.500.11948/2915
dc.description.abstractThe use of credit and debit card has been increased day by day. So the financial fraud or the fraudulent transaction has also increased day by day in today’s world because of development of modern technology. With the help of these cards we can make both online and offline payment easily. For online transaction it uses virtual card and for offline transaction it uses physical card. In today’s world, credit and debit card provides cashless shopping at every shop. In this fraud detection system (FDS), when a fraudulent transaction is going to be done, it will be detected by this system. A fraud can be detected using Hidden Markov Model (HMM) during transaction. In this project, the sequence of operations in credit card transaction processing system using a Hidden Markov Model and show how it can be used for the detection of fraud. An HMM is initially trained with the normal behavior of a cardholder. If an incoming credit card transaction is not accepted by the trained HMM with sufficiently high probability, it is considered to be fraudulent. At the same time, we try to ensure that genuine transactions are not rejected.en_US
dc.language.isoenen_US
dc.publisherDaffodil International Universityen_US
dc.subjectDaffodil International Universityen_US
dc.subjectFraud Detectionen_US
dc.subjectHidden Macroven_US
dc.subjectCredit Carden_US
dc.subjectDebit Carden_US
dc.titleCredit/Debit Card Fraud Detection System Using Hidden Markoven_US
dc.typeWorking Paperen_US


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