A Fraudulent Transaction Prediction in Credit Card by Using Novel LGBA over LR Algorithms

Credit Card Transaction Fraud Detection by using Hidden Markov Model

this paper proposes a HMM (Hidden Markov Model) based fraud detection system for credit card fraud detection. The method works on the statistical behavior of user’s transactions. Since the original transactions are not available due to privacy policies of bank we used here synthetically generated data for a credit card user, and then HMM model is trained using different size of sample of genera...

Study of Hidden Markov Model in Credit Card Fraudulent Detection

APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions

a Department of Decision Sciences and Information Management, KU Leuven, Naamsestraat 69, B-3000 Leuven, Belgium b Departamento de Ingeniería Industrial, Universidad de Talca, Curicó, Chile c Fraud Risk Management Analytics, Worldline, Brussels, Belgium d Department of Computer Science, Rutgers University, Piscataway, NJ, USA e Department of Computer Science, Stony Brook University, Stony Brook...

A Secure Credit Card Transaction Method Based on Kerberos

This paper introduces a new credit card payment scheme called No Number Credit Card that can significantly reduce the possibility of credit card fraud. The proposed payment system is loosely based on Kerberos, a cryptographic framework that has stood the test of time. In No Number Credit Card, instead of card numbers, only payment tokens are exchanged between the customers and merchants. The to...

Fraudulent Electronic transaction detection using KDA Model

Clustering analysis and Datamining methodologies were applied to the problem of identifying illegal and fraud transactions. The researchers independently developed model and software using data provided by a bank and using Rapidminer modeling tool. The research objectives are to propose dynamic model and mechanism to cover fraud detection system limitations. KDA model as proposed model can dete...