Specification and implementation of a data generator to simulate fraudulent user behavior

Galina Baader, Robert Meyer, Christoph Wagner, Helmut Krcmar

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

3 Zitate (Scopus)

Abstract

Fraud is a widespread international problem for enterprises. Organizations increasingly use self-learning classifiers to detect fraud. Such classifiers need training data to successfully distinguish normal from fraudulent behavior. However, data containing authentic fraud scenarios is often not available for researchers. Therefore, we have implemented a data generation tool, which simulates fraudulent and non-fraudulent user behavior within the purchase-to-pay business process of an ERP system. We identified fraud scenarios from literature and implemented them as automated routines using SAP’s programming language ABAP. The data generated can be used to train fraud detection classifiers as well as to benchmark existing ones.

OriginalspracheEnglisch
TitelBusiness Information Systems - 19th International Conference, BIS 2016, Proceedings
Redakteure/-innenBogdan Franczyk, Witold Abramowicz, Rainer Alt
Herausgeber (Verlag)Springer Verlag
Seiten67-78
Seitenumfang12
ISBN (Print)9783319394251
DOIs
PublikationsstatusVeröffentlicht - 2016
Veranstaltung19th International Conference on Business Information Systems, BIS 2016 - Leipzig, Deutschland
Dauer: 6 Juli 20168 Juli 2016

Publikationsreihe

NameLecture Notes in Business Information Processing
Band255
ISSN (Print)1865-1348

Konferenz

Konferenz19th International Conference on Business Information Systems, BIS 2016
Land/GebietDeutschland
OrtLeipzig
Zeitraum6/07/168/07/16

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