2016
EMSS 2016 Proceeding
Paysim: a financial mobile money simulator for fraud detection
Authors: E. A. Lopez-Rojas, A. Elmir, S. Axelsson
Abstract
The lack of legitimate datasets on mobile money transac- tions to perform research on in the domain of fraud detec- tion is a big problem today in the scientific community. Part of the problem is the intrinsic private nature of fi- nancial transactions, that leads to no public available data sets. This will leave the researchers with the burden of first har- nessing the dataset before performing the actual research on it. This paper propose an approach to such a problem that we named the PaySim simulator. PaySim is a financial simulator that simulates mobile money transactions based on an original dataset. In this paper, we present a solution to ultimately yield the pos- sibility to simulate mobile money transactions in such a way that they become similar to the original dataset. With technology frameworks such as Agent-Based simulation techniques, and the application of mathematical statistics, we show in this paper that the simulated data can be as prudent as the original dataset for research.
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