International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064


Downloads: 116

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 3 Issue 7, July 2014


Internet Banking Fraud Detection using HMM and BLAST-SSAHA Hybridization

Avanti H. Vaidya, S. W. Mohod


Abstract: With the rise and swift growth of E-Commerce, credit card uses for online purchases has increased dramatically and it caused sudden outbreak in the credit card fraud. Fraud is one of the major ethical issues in the credit card industry. With both online as well as regular purchase, credit card becomes the most popular mode of payment with cases of fraud associated with it are also increasing. For this purpose an efficient fraud detection system is necessary. This paper presents the detection of fraud transaction using BLAST-SSAHA Hybridization which is used for the optimization of dataset and Hidden Markov Model. At the same time we have tried to ensure that genuine transaction are not rejected by making use of one time password that was generated by bank server and sent to genuine cardholder.


Keywords: Internet Banking, Hidden Markov Model, BLAST-SSAHA Hybridization


Edition: Volume 3 Issue 7, July 2014,


Pages: 574 - 579


How to Cite this Article?

Avanti H. Vaidya, S. W. Mohod, "Internet Banking Fraud Detection using HMM and BLAST-SSAHA Hybridization", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=8071405, Volume 3 Issue 7, July 2014, 574 - 579

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