FraudSim: Simulating Fraud in a Public Delivery Program

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Author(s): Yushim Kim (Arizona State University, USA)and Ningchuan Xiao (The Ohio State University, USA)
Copyright: 2008
Pages: 19
Source title: Artificial Crime Analysis Systems: Using Computer Simulations and Geographic Information Systems
Source Author(s)/Editor(s): Lin Liu (University of Cincinnati, USA)and John Eck (University of Cincinnati, USA)
DOI: 10.4018/978-1-59904-591-7.ch016

Keywords: Digital Crime & Forensics / Information Science Reference / IT Security and Ethics / Security & Forensics

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Abstract

This chapter shows that white-collar crime can be approached using an agent-based model. Fraud in public delivery programs often involves several entities that are loosely interrelated and interact dynamically. However, the crime literature has not paid sufficient attention to these characteristics, thus providing limited utility for public managers. This chapter frames a public delivery program as a complex system. The patterns of fraud in such a system are simulated using an agent-based model called FraudSim. We demonstrate that FraudSim closely replicates the statistical and spatial patterns of fraud and provides a framework for future work in this area.

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FraudSim: Simulating Fraud in a Public Delivery Program

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