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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
Similar Articles with Keyword 'Internet Banking'
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Research Paper, Computer Science & Engineering, India, Volume 11 Issue 5, May 2022
Pages: 208 - 212Design & Development of Android App with Using Firebase and Develop App Shop One E-Procurement
Rajesh Singh [16] | Omkar Kalel | Sushil Kulkarni | Mahesh Patil
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Research Paper, Computer Science & Engineering, India, Volume 6 Issue 5, May 2017
Pages: 1619 - 1621Highly Secured Net Banking System Using Fingerprinting Recognition Technology
Pooja Diggavi | Pooja Patil | Krupa R [3] | Padma S.K | Sridevi Malipatil