Open Access   Article Go Back

A Survey Paper On Credit Card Fraud Detection Using Different Classifiers

Ashish Kumar1 , Shivank Kumar Soni2 , Chetan Agrawal3

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-1 , Page no. 552-559, Jan-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i1.552559

Online published on Jan 31, 2019

Copyright © Ashish Kumar, Shivank Kumar Soni, Chetan Agrawal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Ashish Kumar, Shivank Kumar Soni, Chetan Agrawal, “A Survey Paper On Credit Card Fraud Detection Using Different Classifiers,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.552-559, 2019.

MLA Style Citation: Ashish Kumar, Shivank Kumar Soni, Chetan Agrawal "A Survey Paper On Credit Card Fraud Detection Using Different Classifiers." International Journal of Computer Sciences and Engineering 7.1 (2019): 552-559.

APA Style Citation: Ashish Kumar, Shivank Kumar Soni, Chetan Agrawal, (2019). A Survey Paper On Credit Card Fraud Detection Using Different Classifiers. International Journal of Computer Sciences and Engineering, 7(1), 552-559.

BibTex Style Citation:
@article{Kumar_2019,
author = {Ashish Kumar, Shivank Kumar Soni, Chetan Agrawal},
title = {A Survey Paper On Credit Card Fraud Detection Using Different Classifiers},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {7},
Issue = {1},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {552-559},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3541},
doi = {https://doi.org/10.26438/ijcse/v7i1.552559}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i1.552559}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3541
TI - A Survey Paper On Credit Card Fraud Detection Using Different Classifiers
T2 - International Journal of Computer Sciences and Engineering
AU - Ashish Kumar, Shivank Kumar Soni, Chetan Agrawal
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 552-559
IS - 1
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
571 270 downloads 120 downloads
  
  
           

Abstract

In this survey we will converse the classification algorithms which are useful on credit card datasets used for finding the scam detection of credit cards. The two major mechanisms to avoid frauds along with losses due to fraudulent actions are fraud avoidance and fraud discovery system. Fraud prevention is the practical mechanism with the objective of disable the incidence of fraud. Fraud discovery systems come interested in play when the fraudsters exceed the fraud prevention scheme and begin a fraudulent transaction. No one can recognize whether a fraudulent transaction has accepted the prevention method. Consequently, the objective of the fraud detection method is to ensure all transaction for the prospect of being fraudulent despite of the prevention method, along with to recognize fraudulent ones as rapidly as probable after the fraudster has begin to commit a fraudulent transaction.

Key-Words / Index Term

Credit card, classification, SVM, fraud, Naïve Bayes

References

[1] Avinash Ingole, Dr. R. C. Thool, “ Credit Card Fraud Detection Using Hidden Markov Model and Its Performance," International Journal of Advanced Research In Computer Science and Software Engineering (IJARCSSE), vol. 3, 6 June 2013.
[2] A. Agrawal, S. Kumar and A. K. Mishra, "Credit Card Fraud Detection: A case study," 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, pp 5-7, 2015.
[3] Clifton Phua, Member, IEEE, Kate Smith-Miles, Senior Member, IEEE, Vincent Cheng-Siong Lee, and Ross Gayler, “Resilient Identity Crime Detection”, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 24, NO. 3, MARCH 2012.
[4] Dr R. Dhanapal, Gayathiri. P, “Credit Card Fraud Detection Using Decision Tree For Tracing Email And Ip," International Journal of Computer Science Issues (IJCSI) Vol. 9, Issue 5, No 2, September 2012.
[5] Hunt, E.B., Marin. and Stone,P.J., “Experiments in induction”, Academic Press, New York, 1996.
[6] Shafer, J., Agrawal, R., and Mehta, M., Sprint, “A scalable parallel classifier for data mining” Proceedings of the 22nd international conference on very large data base. Mumbai (Bombay), India, 1996.
[7] Ray-I Chang, Liang-Bin Lai, WenDe Su, Jen-Chieh Wang, Jen-Shiang Kouh “Intrusion Detection by Backpropagation Neural Networks with Sample-Query and Attribute-Query”. Research India Publications; 6-10, 2006.
[8] Raghavendra Patidar, Lokesh Sharma “Credit Card Fraud Detection Using Neural Network”. International Journal of Soft Computing and Engineering (IJSCE), Volume-1, Issue; pp 32-38, 2011.
[9] Siddhartha Bhattacharyya, Sanjeev Jha, Kurian Tharakunnel, J. Christopher Westland, “Data mining for credit card fraud: A comparative study”, Decision Support Systems 50 pp. 602–613,2011.
[10] Srivastava, Abhinav, Kundu, Amlan, Sural, Shamik and Majumdar, Arun K., “Credit Card Fraud Detection Using Hidden Markov Model”, IEEE Transactions on Dependable and Secure Computing, Vol. 5, No. 1, pp. 37-48, 2008.
[11] S. Ghosh and D.L. Reilly, “Credit Card Fraud Detection with a Neural-Network,” Proc. 27th Hawaii Int’l Conf. System Sciences: Information Systems: Decision Support and Knowledge Based Systems, vol. 3, pp. 621-630, 1994.
[12] V. Dheepa and R. Dhanapal, “Analysis of Credit Card Fraud Detection Methods,” international J. Recent Trends Eng., vol. 2, no. 3, pp. 126–128, 2009.
[13] R.S. Walse, G.D. Kurundkar, P. U. Bhalchandra, "A Review: Design and Development of Novel Techniques for Clustering and Classification of Data", International Journal of Scientific Research in Computer Science and Engineering, Vol.06, Issue.01, pp.19-22, 2018.
[14] A.K.Gupta, S.Gupta, "Neural Network through Face Recognition", International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.2, pp.38-40, 2018.
[15] Patel, Rinky D., and Dheeraj Kumar Singh. "Credit card fraud detection & prevention of fraud using genetic algorithm." International Journal of Soft Computing and Engineering (IJSCE) ISSN 2231-2307, 2013.
[16] Ingole, Avinash, and Dr RC Thool. "Credit card fraud detection using Hidden Markov Model and its performance." International Journal of Advanced Research in Computer Science and Software Engineering 3, pp 626-632, 2013.
[17]. Lawryshyn, Yuri. "Joseph Pun." Computing 5, no. 1 pp 37-48, 2008.