Research Article

Securing Online Banking Transaction using Predictive Approach of Hidden Markov Model

by  Sangita D. Avghad, Madhuri S. Joshi
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 128 - Issue 7
Published: October 2015
Authors: Sangita D. Avghad, Madhuri S. Joshi
10.5120/ijca2015906603
PDF

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

                        @article{ 10.5120/ijca2015906603,
                        author  = { Sangita D. Avghad,Madhuri S. Joshi },
                        title   = { Securing Online Banking Transaction using Predictive Approach of Hidden Markov Model },
                        journal = { International Journal of Computer Applications },
                        year    = { 2015 },
                        volume  = { 128 },
                        number  = { 7 },
                        pages   = { 14-17 },
                        doi     = { 10.5120/ijca2015906603 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2015
                        %A Sangita D. Avghad
                        %A Madhuri S. Joshi
                        %T Securing Online Banking Transaction using Predictive Approach of Hidden Markov Model%T 
                        %J International Journal of Computer Applications
                        %V 128
                        %N 7
                        %P 14-17
                        %R 10.5120/ijca2015906603
                        %I Foundation of Computer Science (FCS), NY, USA
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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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Fraud Detection System(FDS) Hidden Markov Model (HMM) one Time Password (OTP) Online Banking (OLB).

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