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Fraud Detection: From Basic Techniques to a Multi-Agent Approach

Alessandro Buoni, Fraud Detection: From Basic Techniques to a Multi-Agent Approach. In: Management and Service Science (MASS), 2010 International Conference on , 2010.

Abstract:

According to KPMG figures, fraud represents a
serious economical problem, which has been studied in
different ways due to the fact that fraudsters are benefiting
from the fast development of ICT and are developing their
techniques. In this paper, after summarizing different fraud
detection methods and tools proposed in the literature like
meta-rules and tree-based detection, we will introduce a
multi-agent system, called FIDES, which integrates the
computational power of data mining tools and attack trees
with experts' judgments negotiated through a Delphi-based
system. Two scenarios are described: in the first one FIDES,
supported by cause-effect diagrams, is used to classify alarms
generated by the system to help the experts to focus on the
real dangerous ones; in the second one FIDES is used in a
proactive way in order to block or prevent human based
frauds.

BibTeX entry:

@INPROCEEDINGS{inpBuoni10a,
  title = {Fraud Detection: From Basic Techniques to a Multi-Agent Approach},
  booktitle = {Management and Service Science (MASS), 2010 International Conference on },
  author = {Buoni, Alessandro},
  year = {2010},
}

Belongs to TUCS Research Unit(s): Other

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