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Reseach Article

A Survey on Different Approaches used for Credit Card Fraud Detection

by Anika Nahar, Sharmistha Roy, Syeda Shabnam Hasan
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 4
Year of Publication: 2016
Authors: Anika Nahar, Sharmistha Roy, Syeda Shabnam Hasan

Anika Nahar, Sharmistha Roy, Syeda Shabnam Hasan . A Survey on Different Approaches used for Credit Card Fraud Detection. International Journal of Applied Information Systems. 10, 4 ( January 2016), 29-34. DOI=10.5120/ijais2016451492

@article{ 10.5120/ijais2016451492,
author = { Anika Nahar, Sharmistha Roy, Syeda Shabnam Hasan },
title = { A Survey on Different Approaches used for Credit Card Fraud Detection },
journal = { International Journal of Applied Information Systems },
issue_date = { January 2016 },
volume = { 10 },
number = { 4 },
month = { January },
year = { 2016 },
issn = { 2249-0868 },
pages = { 29-34 },
numpages = {9},
url = { },
doi = { 10.5120/ijais2016451492 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2023-07-05T19:02:27.661867+05:30
%A Anika Nahar
%A Sharmistha Roy
%A Syeda Shabnam Hasan
%T A Survey on Different Approaches used for Credit Card Fraud Detection
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 10
%N 4
%P 29-34
%D 2016
%I Foundation of Computer Science (FCS), NY, USA

Now-a-days the use of credit card has dramatically increased due to rapid growth of e-commerce technology. It is the most popular mode of payment for both online as well as regular purchase.Credit card fraud has become a significant problem, as companies, banks other financial institutions faces huge amount of losses annually because of fraudulent activities of fraudsters. So the main aim of credit card fraud detection system is to learn different patterns used in previous frauds and train itself to identify fraudulent and non fraudulent transactions. In this paper a survey on different techniques used in credit card fraud detection such as Neural Network,Bayesian Network, Decision Trees, Hidden Markov Model, Support Vector Machines, Meta Learning, Blast-SSaha Algorithm, Fuzzy System with Neural Network, Fuzzy Darwinian System, and Genetic Algorithm is demonstrated.

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Index Terms

Computer Science
Information Sciences


Credit Card Fraud Neural Network Bayesian Network Decision trees Support Vector Machine Genetic Algorithm Hidden Markov Model Meta Learning Fuzzy Darwinian System.