Home // ICDS 2011, The Fifth International Conference on Digital Society // View article

Online Banking Fraud Detection Based on Local and Global Behavior

Authors:
Stephan Kovach
Wilson Vicente Ruggiero

Keywords: differential analysis; local and global behavior; device identification; Dempster-Shafer theory

Abstract:
This paper presents a fraud detection system proposed for online banking that is based on local and global observations of users’ behavior. Differential analysis is used to obtain local evidence of fraud where a significant deviation from normal behavior indicates a potential fraud. This evidence is strengthened or weakened by the user’s global behavior. In this case, the evidence of fraud is based on the number of accesses performed by the user and by a probability value that varies over time. The Dempster’s rule of combination is applied to these evidences for final suspicion score of fraud. Our main contribution is a fraud detection method based on effective identification of devices used to access the accounts and assessing the likelihood of being a fraud by tracking the number of different accounts accessed by each device.

Pages: 166 to 171

Copyright: Copyright (c) IARIA, 2011

Publication date: February 23, 2011

Published in: conference

ISSN: 2308-3956

ISBN: 978-1-61208-116-8

Location: Gosier, Guadeloupe, France

Dates: from February 23, 2011 to February 28, 2011