Authentication in an Internet Banking Environment; Towards Developing a Strategy for Fraud Detection

This paper outlines a framework for Internet banking security using multi-layered, feed-forward artificial neural networks. Such applications utilise anomaly detection techniques which can be applied for transaction authentication and intrusion detection within Internet banking security architectures. Such fraud ‘detection’ strategies have the potential to significantly limit present levels of financial fraud in comparison to existing fraud ‘prevention’ techniques.