@inproceedings{e68bd028771948f3a8b80a179943a027,
title = "Specification and implementation of a data generator to simulate fraudulent user behavior",
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{\textquoteright}s programming language ABAP. The data generated can be used to train fraud detection classifiers as well as to benchmark existing ones.",
keywords = "ABAP, BAPI, BDC, Data generation, Fraud scenarios, Purchase-to-pay process, SAP ERP, User simulation",
author = "Galina Baader and Robert Meyer and Christoph Wagner and Helmut Krcmar",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 19th International Conference on Business Information Systems, BIS 2016 ; Conference date: 06-07-2016 Through 08-07-2016",
year = "2016",
doi = "10.1007/978-3-319-39426-8_6",
language = "English",
isbn = "9783319394251",
series = "Lecture Notes in Business Information Processing",
publisher = "Springer Verlag",
pages = "67--78",
editor = "Bogdan Franczyk and Witold Abramowicz and Rainer Alt",
booktitle = "Business Information Systems - 19th International Conference, BIS 2016, Proceedings",
}