The week's pick
Reseach Article
Securing Online Banking Transaction using Predictive Approach of Hidden Markov Model
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 128 - Number 7 |
| Year of Publication: 2015 |
| Authors: Sangita D. Avghad, Madhuri S. Joshi |
10.5120/ijca2015906603
|
Sangita D. Avghad, Madhuri S. Joshi . Securing Online Banking Transaction using Predictive Approach of Hidden Markov Model. International Journal of Computer Applications. 128, 7 ( October 2015), 14-17. DOI=10.5120/ijca2015906603
Abstract
Due to a Fast growth in the electronic commerce technology, popularity of online banking and online shopping is growing day by day. While e-commerce is still gaining popularity, it also provides ground for fraudsters who try to misuse the transparency of online purchases and the transfer of credit card records. In this paper, proposed model the sequence of operation in online banking transaction processing using a Hidden Markov Model (HMM) and describe how it can be used for the detection of frauds. An HMM is initially trained with the normal behaviour of a cardholder. If current transaction is not accepted by the trained model with good probability, it is treated as fraudulent. And one time password is send to mobile of card holder.
References
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