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Title:

Specification and Implementation of a Data Generator to simulate Fraudulent User Behavior

Document type:
Konferenzbeitrag
Author(s):
Baader, Galina; Meyer, Robert; Wagner, Christoph; Krcmar Helmut
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....     »
Book / Congress title:
19th International Conference on Business Information Systems
Year:
2016
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