MOBILE FRAUD DETECTION
AbstractThis paper discusses the status of research on detection of fraud undertaken in mobile system.
A first task has been the identification of possible fraud scenarios and of typical fraud indicators, which can be mapped to data in toll tickets. Currently, this project is exploring the detection of fraudulent behaviour based on a combination of absolute and differential usage. Three approaches are being investigated: a rule-based approach, and two approaches based on neural networks, where both supervised and unsupervised learning are considered. Special attention is being paid to the feasibility of the implementations.
