2014
EMSS 2014 Proceeding
BankSim: a bank payments simulator for fraud detection research
Authors: Edgar Alonso Lopez-Rojas, Stefan Axelsson
Abstract
BankSim is an agent-based simulator of bank payments based on a sample of aggregated transactional data pro- vided by a bank in Spain. The main purpose of BankSim is the generation of synthetic data that can be used for fraud detection research. Statistical and a Social Network Analysis (SNA) of relations between merchants and cus- tomers were used to develop and calibrate the model. Our ultimate goal is for BankSim to be usable to model rel- evant scenarios that combine normal payments and in- jected known fraud signatures. The data sets generated by BankSim contain no personal information or disclo- sure of legal and private customer transactions. There- fore, it can be shared by academia, and others, to develop and reason about fraud detection methods. Synthetic data has the added benefit of being easier to acquire, faster and at less cost, for experimentation even for those that have access to their own data. We argue that BankSim gener- ates data that usefully approximates the relevant aspects of the real data. We intend to make the simulation and its results available to the research community.
I3M Scientific Sponsors
I3M Industrial Sponsors
I3M Media Sponsors
