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Combining Attack Trees and Fuzzy Numbers in a Multi-Agent Approach to Fraud Detection

Alessandro Buoni, Mario Fedrizzi, József Mezei, Combining Attack Trees and Fuzzy Numbers in a Multi-Agent Approach to Fraud Detection. International Journal of Electronic Business 9(3), 186–202, 2011.

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.

BibTeX entry:

@ARTICLE{jBuFeMe11a,
  title = {Combining Attack Trees and Fuzzy Numbers in a Multi-Agent Approach to Fraud Detection},
  author = {Buoni, Alessandro and Fedrizzi, Mario and Mezei, József},
  journal = {International Journal of Electronic Business},
  volume = {9},
  number = {3},
  publisher = {Inderscience Publishers},
  pages = {186–202},
  year = {2011},
  keywords = {	fraud detection; think maps; attack trees; Delphi method; fuzzy numbers; fuzzy logic; multi-agent systems; MAS; agent-based systems; expert systems; behavioural aspects},
}

Belongs to TUCS Research Unit(s): Institute for Advanced Management Systems Research (IAMSR)

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