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

Author

Bignell, Kane Baxter

Author_Institution

Berwick Sch. of Inf. Technol., Monash Univ., Vic.

fYear

2006

fDate

26-28 Aug. 2006

Firstpage

23

Lastpage

23

Abstract

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

Keywords

Internet; authorisation; bank data processing; feedforward neural nets; fraud; message authentication; transaction processing; Internet banking environment; Internet banking security; anomaly detection; feedforward artificial neural networks; financial fraud; fraud detection; intrusion detection; transaction authentication; Artificial neural networks; Authentication; Banking; Computer security; IP networks; Information security; Information technology; Internet; Intrusion detection; National security;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet Surveillance and Protection, 2006. ICISP '06. International Conference on

Conference_Location

Cote d´Azur

Print_ISBN

0-7695-2649-7

Type

conf

DOI

10.1109/ICISP.2006.3

Filename

1690407