Implementation of Hidden Markov Model for Credit Card Fraud Detection

Authors(6) :-Chandan Kumar, Kamlesh Parate, Shreyash Sahare, Prajakta Lokhande, Moh. Akram Beg, Prof. Rohan Kokate

In Present situation the credit cards or net banking is exceptionally prominent and most favoured method of transaction. The security of these exchange is additionally a noteworthy issue. In this paper we have given the hypothesis to utilize three key elements of beware of any exchange which is initially prepared by the HMM. This is to make the exchanges more secure than the beforehand given theories. We right off the bat make the behavioural example of any client utilizing HMM, afterwards if the exchange isn't acknowledged by the given model than we think about it as security danger or fraud and send an alarm to client to check.

Authors and Affiliations

Chandan Kumar
BE Students, Department of Information Technology/Computer Science & Engineering, J. D College of Engineering and Management, Nagpur, Maharashtra, India
Kamlesh Parate
Department of Information Technology/Computer Science & Engineering. J. D College of Engineering and Management, Nagpur, Maharashtra, India
Shreyash Sahare

Prajakta Lokhande

Moh. Akram Beg

Prof. Rohan Kokate

Credit Card Fraud, Hidden Markov Model (HMM), Fraud Detection, Password, Security Question

  1. LAWRENC R. RABINER, 2012. A Tutorial on Hidden Markov Mod-els and Speech Recognition. http://www.cs.cornell.edu/Courses/cs4758/2012sp/materials/hmm_paper_rabiner.pdf
  2. Abhinav Srivastava, Amlan Kundu, Shamik Sural, Arun K. Majum-dar.”Credit Card Fraud Detection using Hidden Markov Soheila Eh-ramikar, Jan 2010, The Enhancement of Credit Card Fraud Detection Systems Book.
  3. S. Stolfo and A.L. Prodromidis, “Agent-Based Distributed Learning Applied to Fraud Detection,” Technical Report CUCS-014-99, Co-lumbia Univ., 1999.
  4. S.B. Cho and H.J. Park, “Efficient Anomaly Detection by Modeling-Privilege Flows Using Hidden Markov Model,” Computer and Security.
  5. David A. Montague, 2010, Fraud Prevention Techniques for Credit Card Fraud.
  6. JERMY QUITTNER. “AVOIDING CREDIT CARD FRAUD”. http://abcnews.go.com/business/financialSecurity/Story?id=89746&page=12004.
  7. S. Benson Edwin Raj, A. Annie Portia “Analysis on Credit Card Fraud Detection Methods”. International Conference on Computer, Communication and Electrical Technology ICCCET2011, 18th &19th March, 2011.
  8. Joseph Pun, Yuri Lawryshyn “ Improving Credit Card Fraud Detection using a Meta-Classification Strategy”, International Journal of Computer Applications (0975 8887) Volume 56 No.10, October 2012.
  9. Raghavendra Patidar, Lokesh Sharma “ Credit Card Fraud Detection Using Neural Network”, International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-1, Issue-NCAI2011, June 2011.
  10. 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) ISSN: 2277 128X, Volume 3, Issue 6, June 2013.
  11. Gajendra Singh, Ravindra Gupta, Ashish Rastogi, Mahiraj D. S. Chandel, A. Riyaz “A Machine Learning Approach for Detection of Fraud based on SVM”, International Journal of Scientific Engineering and Technology (ISSN : 2277-1581), Volume No.1, Issue No.3, pg : 194-198 01 July 2012.
  12. Arunabha Mukhopadhyay, Sayali Mukherjee and Ambuj Mahanti, “ Artificial Immune System for detecting online credit card frauds," Research Front, www.csi-india.org, CSI Communications , December 2011.

Publication Details

Published in : Volume 4 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 385-389
Manuscript Number : IJSRSET1844139
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Chandan Kumar, Kamlesh Parate, Shreyash Sahare, Prajakta Lokhande, Moh. Akram Beg, Prof. Rohan Kokate, " Implementation of Hidden Markov Model for Credit Card Fraud Detection, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 4, pp.385-389, March-April-2018.
Journal URL : http://ijsrset.com/IJSRSET1844139

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