Luisa Zintgraf, Edgar A. Lopez-Rojas, Diederik Roijers, Ann Nowe
MultiMAuS is an agent-based simulator for payment transactions, intended for the analysis and development of dynamic on-line fraud detection methods via a multi-modal user authentication system. The multi-modal authentication procedure allows for a flexible number of authentication steps a user has to do before a transaction is processed (or rejected). It can thus adapt to the risk associated with a certain transaction, in the context of a given user. Our simulator is based on real-world credit card transaction data, to realistically model customer behaviour. The simulator can be used to study short and long term consequences of fraud detection algorithms, for different scenarios like varying levels of fraud or authentication steps. The implementation was done in Python, and is publicly available together with aggregated real transaction data (which serves as input to the simulator) and an example simulated transaction log.
Zintgraf, L, Lopez-Rojas, EA, Roijers, D & Nowe, A 2017, MultiMAuS: a Multi-modal Authentication Simulator for Fraud Detection Research. in F Longo, M Affenzeller, MA Piera, AG Bruzzone & E Jimenez (eds), 29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017. pp. 360-369, European Modeling and Simulation Symposium , Barcelona, Spain, 18/09/17. <http://roijers.info/pub/MultiMAuS.pdf>
Zintgraf, L., Lopez-Rojas, E. A., Roijers, D., & Nowe, A. (2017). MultiMAuS: a Multi-modal Authentication Simulator for Fraud Detection Research. In F. Longo, M. Affenzeller, M. A. Piera, A. G. Bruzzone, & E. Jimenez (Eds.), 29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017 (pp. 360-369) http://roijers.info/pub/MultiMAuS.pdf
@inproceedings{738d309c21b04feaa19054ec8f47f053,
title = "MultiMAuS: a Multi-modal Authentication Simulator for Fraud Detection Research",
abstract = "MultiMAuS is an agent-based simulator for payment transactions, intended for the analysis and development of dynamic on-line fraud detection methods via a multi-modal user authentication system. The multi-modal authentication procedure allows for a flexible number of authentication steps a user has to do before a transaction is processed (or rejected). It can thus adapt to the risk associated with a certain transaction, in the context of a given user. Our simulator is based on real-world credit card transaction data, to realistically model customer behaviour. The simulator can be used to study short and long term consequences of fraud detection algorithms, for different scenarios like varying levels of fraud or authentication steps. The implementation was done in Python, and is publicly available together with aggregated real transaction data (which serves as input to the simulator) and an example simulated transaction log.",
keywords = "Credit card transactions, Fraud detection, Multi-Agent simulation, Multi-modal authentication",
author = "Luisa Zintgraf and Lopez-Rojas, {Edgar A.} and Diederik Roijers and Ann Nowe",
year = "2017",
month = sep,
language = "English",
pages = "360--369",
editor = "Francesco Longo and Michael Affenzeller and Piera, {Miquel Angel} and Bruzzone, {Agostino G.} and Emilio Jimenez",
booktitle = "29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017",
note = "European Modeling and Simulation Symposium , EMSS ; Conference date: 18-09-2017 Through 20-09-2017",
url = "http://www.msc-les.org/conf/emss2017/index.html",
}