Title: Combining attack trees and fuzzy numbers in a multi-agent approach to fraud detection
Authors: Alessandro Buoni; Mario Fedrizzi; Jozsef Mezei
IAMSR, Turku Centre for Computer Science, Joukahaisenkatu 3-5 B, 20520 Turku, Finland.
Department of Computer and Management Sciences, University of Trento, Via Inama 5, 38122 Trento, Italy.
IAMSR, Turku Centre for Computer Science, Joukahaisenkatu 3-5 B, 20520 Turku, Finland
Abstract: The fraud surveys carried out in the last five years by leading international consulting companies demonstrate that fraud is an increasing phenomenon depending most of all on behavioural aspects. In this paper, we introduce a multi-agent system called Fraud Interactive Decision Expert System (FIDES), which puts more emphasis on the evaluation of behavioural aspects of fraud detection according to the judgements expressed by experts (inspectors and auditors). FIDES combines think-maps, attack trees and fuzzy numbers under a Delphi-based team work support system and offers to the users a suitable way to better understand and manage fraud schemes.
Keywords: fraud detection; think maps; attack trees; Delphi method; fuzzy numbers; fuzzy logic; multi-agent systems; MAS; agent-based systems; expert systems; behavioural aspects.
Int. J. of Electronic Business, 2011 Vol.9, No.3, pp.186 - 202
Available online: 16 Sep 2011