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Submitted
September 27, 2015
Accepted
September 27, 2015
Published
September 27, 2015
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Abstract

Today, people are more used to online shopping and payment due to which frauds related to online payment is on the rise. The main modes of online payment are credits cards, debit cards, net banking. The fraud related to credit cards is increasing nowadays because people prefer using them as an easy mode of payment. In this paper, we have implemented a mechanism to detect credit card fraud using neural networks using Neuroph IDE. This paper presents the various parameters that were considered while training and testing the neural network. Also, we have presented the results and conclusions of our experiment.

Keywords

Credit card frauds Neural Networks Multilayer Feed forward network Back propagation Neuroph.

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Authors retain the copyright without restrictions for their published content in this journal. IJSRTM is a SHERPA ROMEO Journal. 

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This is an open-access article distributed under the terms of  Creative Commons License

 

How to Cite
Murli, D., Jami, S., Jog, D., & Nath, S. (2015). Credit Card Fraud Detection Using Neural Networks. International Journal of Students’ Research in Technology & Management, 2(2), 84–88. Retrieved from https://mgesjournals.com/ijsrtm/article/view/190
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References

  1. Tej Paul Bhatla, Vikram Prabhu & Amit Dua, “Understanding credit card fraudsâ€, Cards Business Review#2003–01, June 2003.
  2. Raghavendra Patidar, Lokesh Sharma, “Credit Card Fraud Detection Using Neural Networkâ€, International Journal of Soft Computing and Engineering (IJSCE), ISSN: 2231-2307, Volume-1, Issue-NCAI2011, June 2011, pp. 32-38.
  3. V. Bhusari, S. Patil, “Study of Hidden Markov Model in Credit Card Fraudulent Detectionâ€, International Journal of Computer Applications (0975-8887),Volume 20-No.5, April 2011, pp. 33-36.
  4. Artificial Neural Networks: http://www.psych.utoronto.ca/ users/reingold/courses/ai/cache/neural2.html
  5. Neuroph: http://neuroph.sourceforge.net/