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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 4, ISSUE 3, MARCH 2015

Credit Card Fraud Detection using Hidden Markov Model

AashleshaBhingarde, AvnishBangar, Krutika Gupta, SnigdhaKarambe

DOI: 10.17148/IJARCCE.2015.4341

Abstract: The most accepted payment mode is credit card for both online and offline in today�s world, it provides cashless shopping at every shop in all countries. It will be the most convenient way to do online shopping, paying bills etc. Hence, risks of fraud transaction using credit card has also been increasing. In the existing credit card fraud detection business processing system, fraudulent transaction will be detected after transaction is done. It is difficult to find out fraudulent and regarding loses will be barred by issuing authorities. Hidden Markov Model is the statistical tools for engineer and scientists to solve various problems. In this paper, it is shown that credit card fraud can be detected using Hidden Markov Model during transactions. Hidden Markov Model helps to obtain a high fraud coverage combined with a low false alarm rate.

 



Keywords: Internet, online shopping, credit card, e-commerce security, fraud detection, Hidden Markov Model.

How to Cite:

[1] AashleshaBhingarde, AvnishBangar, Krutika Gupta, SnigdhaKarambe, “Credit Card Fraud Detection using Hidden Markov Model,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.4341