Hybrid Design using Counter Propagation Neural Network-Genetic Algorithm Model for the Anomaly Detection in Online Transaction

Amusan D.G, Olabode A.O, Ojo O.S, Folowosele A.O, Oyediran M.O
2019 International Journal of Advances in Scientific Research and Engineering  
In e-commerce, credit card fraud is an evolving challenge. The increase in the number of credit card transactions provides more opportunity for fraudsters to steal credit card numbers and execute fraud. Fraud detection is a continuously evolving discipline to tackle ever changing tactics to commit fraud. Existing fraud detection systems have not been so much efficient to reduce fraud transaction rate. Improvement in fraud detection practices has become essential to maintain existence of payment
more » ... system. This research designed hybrid of Counter Propagation Neural Network and genetic algorithm (CPNN-GA) for the detection of anomaly in any online transactions.
doi:10.31695/ijasre.2019.33512 fatcat:kftothdc5za6jm2i5o44bq2dt4