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
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;
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-9-3805-4415-1
