Simulator for online credit card transactions that supports multi-modal authentication.
Please see the corresponding paper (MultiMAuS.pdf) for a detailed description of the simulator. Citation:
Zintgraf, L. M.; Lopez-Rojas, E. A.; Roijers, D. M.; and Nowé, A. 2017. MultiMAuS: A Multi-Modal Authentication Simulator for Fraud Detection Research. In Affenzeller, M.; Bruzzone, A. G.; Jimenez, E.; Longo, F.; and Piera, M. A., eds., 29th European Modeling and Simulation Symp. (EMSS 2017), 360–370. Curran Associates, Inc.
The main script that should be executed for a simulation is
simulator/transaction_model.py. It needs a dictionary of
parameters as input. The default parameters that
are used as input for the simulator can be found in
simulator.parameters.py.
The scripts we used for the experiments in the paper are:
experiments/run_unimaus.py and
experiments/run_multimaus.py.
The simulator takes aggregated data as input which is obtained from a real (private) dataset of credit card transactions. This aggregated data is taken from ./data/simulator_input.
See readme file in data folder for more information.
We also provide features that can be used for learning (e.g., classification)
from the transaction logs. For more information, see data/features.