Title :
Implementation of 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 work, it is tried to develop a technique for `Credit Card Fraud Detection´. Credit Card can be accepted for each online and offline in today´s world. There are combinations of methods used. Firstly, Shopping Behavior is based on which type of products customer buys. Secondly, Spending Behavior in this the fraud is detected based on the maximum amount spent. Thirdly, Hidden Markov Model in this technique profiles are maintained and statistics of a particular user and statistics of different fraud scenarios are clustered. Genetic Algorithm is used for calculation of threshold and accurate frauds. Finally average is taken out by summing the result. The main task of this research work is to explore different views of the same problem and see what can be learned from the application of each different technique.
Keywords :
Internet; consumer behaviour; credit transactions; fraud; genetic algorithms; hidden Markov models; plastic cards; retail data processing; security of data; credit card fraud detection; genetic algorithm; hidden Markov model; online searching; shopping behavior; spending behavior; Clustering algorithms; Computational modeling; Credit cards; Data models; Genetic algorithms; Hidden Markov models; Neural networks; 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
