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Problem Reduction in Online Payment System Using Hybrid Model

Author(s): SandeepPratap Singh | Shiv Shankar P.Shukla | Nitin Rakesh | Vipin Tyagi

Journal: International Journal of Managing Information Technology
ISSN 0975-5926

Volume: 3;
Issue: 3;
Start page: 62;
Date: 2011;
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Keywords: HMM | online shopping | fraud detection | mobile authentication.

Online auction, shopping, electronic billing etc. all such types of application involves problems offraudulent transactions. Online fraud occurrence and its detection is one of the challenging fields for webdevelopment and online phantom transaction. As no-secure specification of online frauds is in researchdatabase, so the techniques to evaluate and stop them are also in study. We are providing an approach withHidden Markov Model (HMM) and mobile implicit authentication to find whether the user interactingonline is a fraud or not. We propose a model based on these approaches to counter the occurred fraud andprevent the loss of the customer. Our technique is more parameterized than traditional approaches andso,chances of detecting legitimate user as a fraud will reduce.
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