International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064




Downloads: 140 | Views: 217 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper | Knowledge-Based Systems | India | Volume 7 Issue 10, October 2018 | Rating: 6.4 / 10


Credit Card Fraud Detection Using HMM and DBSCAN

Bharati H. N. | Soumya Bastikar | Mita Gavade | Sangita Samota


Abstract: With the advent of cashless economy, the demand for credit cards has been rising steadily. With the increase in such transactions, fraud detection systems play a vital role. In this paper, we have modeled the operating phases in a credit card transaction processing. In the prototyped environment, the transaction detail of location is traced from the IP address. We have used two stages to detect the authenticity of a transaction HMM algorithm, a stochastic model for sequential data, that works on amount as the parameter, and DBSCAN that works on location of the transaction as the parameter. If the transaction doesnt pass through any of these phases, the card holder is alerted via an email. We have backed the efficiency of the approach by presenting an experimental analysis of the same.


Keywords: Hidden Markov Model, Probability, Fraud Detection System, Credit Card Transaction, DBSCAN


Edition: Volume 7 Issue 10, October 2018,


Pages: 1086 - 1090



How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link


Verification Code will appear in 2 Seconds ... Wait

Top