文章基本信息

标题：A Novel Approach for Credit Card Fraud Detection Targeting the Indian Market
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作者：Jaba Suman Mishra ; Soumyashree Panda ; Ashis Kumar Mishra 等
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2013
卷号：10
期号：3
出版社：IJCSI Press
摘要：Due to a rapid advancement in the electronic commerce technology, the use of credit cards has dramatically increased. So, the rate of fraudulent practices is also increasing every year. In this paper we present the necessary theory to detect fraud in credit card transaction processing using a Hidden Markov Model. If an incoming credit card transaction is not accepted by the Hidden Markov Model with sufficiently high probability, it is considered to be fraudulent. At the same time, we try to ensure that genuine transactions are not rejected. We show how HMM helps to obtain high fraud coverage combined with a low false alarm rate. The existing models detect that a fraud has occurred only after the fraudulent transaction is completed but in our proposed model, we have shown how it can be reported instantly while the fraudulent transaction is on process.
关键词：Electronic commerce; Credit card; Fraud detection system; Hidden Markov Model; False alarm.