A Survey of Fraud Detection System using Hidden Markov Model for Credit Card Application

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Research areas:
Year:
2012
Type of Publication:
Article
Keywords:
Credit card, Hidden Markov Model, online transaction, E commerce Clustering, credit card fraud detecting system
Authors:
Mr. Ashphak khan; Prof. Tejpal Singh; Prof. Amit Sinhal
Journal:
IJAIM
Volume:
1
Number:
1
Pages:
47-51
Month:
December
ISSN:
2320-5121
Abstract:
The internet has taken its place beside the telephone and the television as on important part of people’s lives. Consumers rely on the internet to shop, bank {&} invest online shoppers use credit card to their purchases. In electronic commerce, credit card has become the most important means of payment due to fast development in information technology around the world. Credit card will be most consentient way to do online shopping, paying bills, online movie ticket booking, fees pay etc. In case of fraud associated with it is also increasing. Many techniques use for find out the credit card fraud detection Fraud Detection; HiddenMarkov Model (MHH) is the statistical tools for Engineering and scientists to solve various problems. An HMM Based system is initially studies spending profile of the cardholder and followed by checking an incoming transaction against spending behavior of the cardholder. In this paper, we can show HMM based credit card fraud detection during credit card transaction. In this project, we model the sequence of operations in credit card transaction processing using a Hidden Markov Model (HMM) and show how it can be used for the detection of frauds. In this paper we are discussion, how the credit card fraudulent is associate of incoming transaction. Incoming transaction we divided to according the observation probability, and discussion about experimental result.
Full text: IJAIM-07 FInal.pdf

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