%0 Journal Article %1 tritscherfinancial %A Tritscher, Julian %A Krause, Anna %A Schlör, Daniel %A Gwinner, Fabian %A von Mammen, Sebastian %A Hotho, Andreas %D 2021 %J IEE COG 2021 %K app_security author:schloer erp fraud from:tritsch game game_design myown research_imbalanced_data research_xai %T A financial game with opportunities for fraud %U https://ieee-cog.org/2021/assets/papers/paper_273.pdf %V 2021 %X Even though companies store large amounts of business data in enterprise resource planning (ERP) systems, obtaining data for financial fraud detection is prohibitively difficult due to privacy concerns and companies protecting trade secrets. One possible solution is game-based generation of synthetic ERP data, which poses the challenge of designing an environment that generates realistic ERP data and allows players to commit many different types of fraud. In this work, we design a multiplayer game that allows players to cooperatively run a fictional company, while simultaneously challenging them to maximize their personal gain. We introduce an approach for letting players explore fraud scenarios through emergent gameplay and present a prototype that may be primed with information from real world ERP systems to generate realistic data.

@article{tritscherfinancial, abstract = {Even though companies store large amounts of business data in enterprise resource planning (ERP) systems, obtaining data for financial fraud detection is prohibitively difficult due to privacy concerns and companies protecting trade secrets. One possible solution is game-based generation of synthetic ERP data, which poses the challenge of designing an environment that generates realistic ERP data and allows players to commit many different types of fraud. In this work, we design a multiplayer game that allows players to cooperatively run a fictional company, while simultaneously challenging them to maximize their personal gain. We introduce an approach for letting players explore fraud scenarios through emergent gameplay and present a prototype that may be primed with information from real world ERP systems to generate realistic data.}, added-at = {2023-09-29T03:19:30.000+0200}, author = {Tritscher, Julian and Krause, Anna and Schl{\"o}r, Daniel and Gwinner, Fabian and von Mammen, Sebastian and Hotho, Andreas}, biburl = {https://www.bibsonomy.org/bibtex/2d159dec3a09f85f34d435ab19be387e9/dmir}, interhash = {e3b5189408b9360a2a9ed69d3d52dd53}, intrahash = {d159dec3a09f85f34d435ab19be387e9}, journal = {IEE COG 2021}, keywords = {app_security author:schloer erp fraud from:tritsch game game_design myown research_imbalanced_data research_xai}, timestamp = {2024-01-18T10:31:52.000+0100}, title = {A financial game with opportunities for fraud}, url = {https://ieee-cog.org/2021/assets/papers/paper_273.pdf}, volume = 2021, year = 2021 }