Problem Reduction in Online Payment System Using Hybrid Model

   International Journal of Managing Information Technology (IJMIT)

ISSN: 0975-5586 (Online); 0975-5926 (Print)

http://airccse.org/journal/ijmit/ijmit.html

Article:

Problem Reduction in Online Payment System Using Hybrid Model

Authors

Sandeep Pratap Singh, Shiv Shankar P. Shukla, Nitin Rakesh and Vipin Tyagi, Jaypee University of Information Technology, India

Abstract

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

Keywords

HMM, online shopping, fraud detection, mobile authentication. 

Paper URL

https://airccse.org/journal/ijmit/papers/3311ijmit06.pdf

Volume URL

http://airccse.org/journal/ijmit/vol3.html








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