Title :
Credit Card Fraud Detection: A case study
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 technique for `Credit Card Fraud Detection´ is developed. As fraudsters are increasing day by day. And fallacious transactions are done by the credit card and there are various types of fraud. So to solve this problem combination of technique is used like Genetic Algorithm, Behavior Based Technique and Hidden Markov Model. By this transaction is tested individually and whatever suits the best is further proceeded. And the foremost goal is to detect fraud by filtering the above techniques to get better result.
Keywords :
credit transactions; fraud; genetic algorithms; hidden Markov models; security of data; behavior based technique; credit card fraud detection; fallacious transactions; genetic algorithm; hidden Markov model; Banking; Clustering algorithms; Credit cards; Data mining; Genetic algorithms; Hidden Markov models; Information technology; Credit-card; Fallacious Transaction; Online Shopping;
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-9-3805-4415-1
