CREDIT CARD FRAUD DETECTION USING HMM AND NAÏVE BAYAS

Authors

  • Mrs. M. Anusha 2Assistant Professor, Department Of Electronics and Computer Engineering, J.B Institute of Engineering and Technology Author
  • Mattam Vaibhavi 1B.tech Student, Department Of Electronics and Computer Engineering, J.B Institute of Engineering and Technology Author

Abstract

The most accepted payment mode is credit card for both online and offline in today’s world, it
provides cashless shopping at every shop in all countries. It will be the most convenient way to do online
shopping, paying bills etc. Hence, risks of fraud transaction using credit card has also been increasing. In the
existing credit card fraud detection business processing system, fraudulent transaction will be detected after
transaction is done. It is difficult to find out fraudulent and regarding loses will be barred by issuing authorities.
Hidden Markov Model is the statistical tools for engineer and scientists to solve various problems. In this paper,
it is shown that credit card fraud can be detected using Hidden Markov Model during transactions. Hidden
Markov Model helps to obtain a high fraud coverage combined with a low false alarm rate.

Downloads

Download data is not yet available.

Downloads

Published

2024-01-29

Issue

Vol. 9 No. 1 (2024): January

Section

Articles

How to Cite

CREDIT CARD FRAUD DETECTION USING HMM AND NAÏVE BAYAS. (2024). International Journal of Multidisciplinary Engineering In Current Research, 9(1), 264-286. https://ijmec.com/index.php/multidisciplinary/article/view/418