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A Review - ATM Card Fraud Detection Using Hidden Markov Model

Authors(5):

Gupta Prashant, Farhan Saudagar, Afsari Raut, Prof. Sonawane V. D, Prof. Sultana Sayyed
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ATM card fraud is causing billions of dollars in losses for the card payment industry. In today’s world the most accepted payment mode is ATM card for both online and also for regular purchasing; hence frauds related with it are also growing. To find the fraudulent transaction, we implement an Advanced Security Model for ATM payment using Hidden Markov Model (HMM), which detects the fraud by using customers spending behavior. This Security Model is primarily focusing on the normal spending behavior of a cardholder and some advanced securities such as Location, Amount, Time and Sequence of transactions. If the trained Security model identifies any misbehavior in upcoming transaction, then that transaction is permanently blocked until the user enter High Security Alert Password (HSAP). This paper provides an overview of frauds and begins with ATM card statistics and the definition of ATM card fraud. The main outcome of the paper is to find the fraudulent transaction and avoids the fraud before it happens.

Gupta Prashant, Farhan Saudagar, Afsari Raut, Prof. Sonawane V. D, Prof. Sultana Sayyed

HSAP, HMM, FDS, Patterns, Transaction, Location, Fraud.

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Publication Details

Published in : Volume 2 | Issue 1 | January-February - 2016
Date of Publication Print ISSN Online ISSN
2016-02-28 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
592-596 IJSRSET1621126   Technoscience Academy

Cite This Article

Gupta Prashant, Farhan Saudagar, Afsari Raut, Prof. Sonawane V. D, Prof. Sultana Sayyed, "A Review - ATM Card Fraud Detection Using Hidden Markov Model", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 1, pp.592-596, January-February-2016.
URL : http://ijsrset.com/IJSRSET1621126.php