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A Survey on Fraud Detection Techniques in Ecommerce

by Priya J Rana, Jwalant Baria
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Number 14
Year of Publication: 2015
Authors: Priya J Rana, Jwalant Baria
10.5120/19892-1898

Priya J Rana, Jwalant Baria . A Survey on Fraud Detection Techniques in Ecommerce. International Journal of Computer Applications. 113, 14 ( March 2015), 5-7. DOI=10.5120/19892-1898

@article{ 10.5120/19892-1898,
author = { Priya J Rana, Jwalant Baria },
title = { A Survey on Fraud Detection Techniques in Ecommerce },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 113 },
number = { 14 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 5-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume113/number14/19892-1898/ },
doi = { 10.5120/19892-1898 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:50:54.845066+05:30
%A Priya J Rana
%A Jwalant Baria
%T A Survey on Fraud Detection Techniques in Ecommerce
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 14
%P 5-7
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

E-commerce becomes popular for online shopping, banking, financial institution and government. Fraudulent activity exits in many areas of businesses and our daily life. Such activities are most prevalent in telecommunication, credit card fraud detection, network intrusion, finance and insurance and scientific applications, Billions of dollars are loss every day due to the increase in the number of credit card transactions by using online as well as offline. To design potent and efficient fraud detection algorithms is the key for reducing the losses in transaction. There were numerous approaches have been implemented for the fraud detection. This paper shows the approaches used in fraud detection in e-commerce.

References
  1. W. Roberds, The impact of fraud on new methods of retail payment, Federal Reserve Bank of Atlanta Economic Review, First Quarter (1998) 42-52.
  2. Sravani Pedamallu, "Graduate Project report on Implementation of an Enhanced Hidden Markov Model in Detecting Credit Card Frauds", 2011.
  3. Khyati Chaudry, Jyoti Yadav, Bhawna Malick, "A Review of Fraud detection techniques", 2012 IJCA.
  4. Avinash Hingole, Dr. R. C. Thool, "Credit card fraud detection system Using Hidden Markov Model and its Performance," 2013 IJARCSSE.
  5. Divya Iyer, Arti Mohanpurkar, Sneha Janardhan, Dhanshree Rathod, Amruta Sardeshmukh, "Credit Card Fraud Detection using Hidden Markov Model," 2011 IEEE.
  6. Krishna Kumar Tripathi, Mahesh A. Pavaskar, "Survey on credit card fraud detection methods", 2012 IJETAE.
  7. Sailesh S. Dhok, "Credit Card Fraud Detection using Hidden Markov Model". 2012 IJSCE.
  8. Neha Sethi, Anju Gera, "A Revived survey on Various Credit Card Fraud Detection Techniques", 2014 IJCSMC.
  9. Raghvendra Patidar, Lokesh Sharma, "Credit Card Fraud Detection Using Neural Network", 2011 IJSCE.
  10. John Akhilomen, "Data mining Application for Cyber Credit-Card Fraud Detection System", 2013 WCE.
Index Terms

Computer Science
Information Sciences

Keywords

Internet E-commerce Fraud Techniques Detection Method

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