Author(s): V. Bhusari, S Patil

Email(s): vrundabhusari82@gmail.com

DOI: Not Available

Address: V. Bhusari1,*, S Patil2
1College of Computer Engineering, JSPM, Bhivarabai Sawant Institute of Technology and Research (W), Pune-411043, India
2College of Engineering, Bhartiya Vidhya Peeth, Pune, India
*Corresponding Author

Published In:   Volume - 4,      Issue - 2,     Year - 2013


ABSTRACT:
The most accepted payment mode nowadays used is credit card for both online and offline. Credit card provides cash less shopping at every shop in all countries. It is the most convenient way to do online shopping, paying bills etc. Hence fraud detection related with it is also growing. In the existing credit card fraud detection system, the fraud is detected after it is done in the credit card transaction processing. As many of online purchases are made it is very difficult to know the person who is doing fraud. Due to this credit card transaction there is development of new concepts for secure transaction. This paper shows how Hidden Markov Model (HMM) can be used successfully to obtain a high fraud coverage combined with a low false alarm rate.


Cite this article:
V. Bhusari, S Patil. Detailed Discussion on Hidden Markov Model in Credit card Fraudulent Detection. Research J. Engineering and Tech. 4(2): April-June, 2013 page 47-52.


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DOI: 10.5958/2321-581X 


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