High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

Security Mechanism to detect Fraud Based On Customer Behavior

Author(s):

PARVINDER SINGH , CHANDIGARH UNIVERSITY; MANDEEP SINGH, CHANDIGARH UNIVERSITY

Keywords:

Unique, Hybrid, Logical, , Data Mining, Artificial Intelligence.

Abstract

With the enhancement in technology e banking like credit Card, Debit Card, Mobile Banking and Internet Banking is the popular medium to transfer the money from one account to another. E Banking is gaining popularity day by day, which increases the online transaction with the increase in online shopping, online bill payment like electricity, Insurance Premium and other charges, online recharges and online reservation of railways, bus etc., cases of fraud associated with it are also increasing and it puts a great burden on the economy, affecting both customers and financial bodies. It not only costs money, but also a great amount of time to restore the harm done. The purpose is to prevent the customer from online transaction by proposing unique and hybrid approach containing Data Mining and Artificial Intelligence based techniques and in order to prevent from fraudulent transactions, PIN, One Time Password mechanisms are used to prevent from online transactions.

Other Details

Paper ID: IJSRDV2I4131
Published in: Volume : 2, Issue : 4
Publication Date: 01/07/2014
Page(s): 258-263

Article Preview

Download Article