DocumentCode
707220
Title
A Novel Approach for Credit Card Fraud Detection
Author
Agrawal, Ayushi ; Kumar, Shiv ; Mishra, Amit Kumar
Author_Institution
Dept. of Inf. Technol., Technocrats Inst. of Technol., Bhopal, India
fYear
2015
fDate
11-13 March 2015
Firstpage
8
Lastpage
11
Abstract
In this research, “A Novel Approach for Credit Card Fraud Detection” is designed. Credit Card frauds are increasing as there are millions of users worldwide. To stop these fallacious transactions a technique is designed which uses the combination of Hidden Markov Model, Behavior Based Technique, and Genetic Algorithm. Each and every transaction is tested with above mentioned technique and Fraud Detection system test the transaction and detects fraud. The goal is to detect least and accurate false fraud detection.
Keywords
credit transactions; fraud; genetic algorithms; hidden Markov models; behavior based technique; credit card fraud detection; fallacious transaction; false fraud detection; fraud detection system; genetic algorithm; hidden Markov model; Banking; Clustering algorithms; Credit cards; Data mining; Genetic algorithms; Hidden Markov models; Security; Credit card; Fallacious transaction; On-line searching;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location
New Delhi
Print_ISBN
978-9-3805-4415-1
Type
conf
Filename
7100190
Link To Document