The task at hand was to develop an approach that detects suspicious activities that are indicative of fraud. Unfortunately, during the initial part of our research this service was only been running in a demo mode. This prevented us from collecting any data that could had been used for analysis of possible detection methods.

The development of PaySim covers two phases. During the first phase, we modelled and implemented a MABS that used the schema of the real mobile money service and generated synthetic data following scenarios that were based on predictions of what could be possible when the real system starts operating. During the second phase we got access to transactional financial logs of the system and developed a new version of the simulator which uses aggregated transactional data to generate financial information more alike the original source.

Implementation available here:

Dataset available in Kaggle:

Kaggle has featured PaySim1 as dataset of the week of april 2018. See the full article:

Please refer to one or several of our publications when using our research:


Lopez-Rojas, Edgar Alonso; Axelsson, Stefan ; Baca, Dejan

Analysis of fraud controls using the PaySim financial simulator Journal Article

International Journal of Simulation and Process Modeling, 13 (4), pp. 377-386, 2018, ISBN: 1740-2131.

Abstract | Links | BibTeX


Lopez-Rojas, Edgar Alonso; Franke, Katrin

Bootstrapping the Paysim Financial Simulator for Open Source Inproceedings

The 29th European Modeling and Simulation Symposium-EMSS, Barcelona, Spain, 2017.

Abstract | Links | BibTeX


Lopez-Rojas, Edgar Alonso; Axelsson, Stefan

A Review of Computer Simulation for Fraud Detection Research in Financial Datasets Inproceedings

Future Technologies Conference, San Francisco, USA, 2016, ISBN: 9781509041718.

Abstract | Links | BibTeX

Lopez-Rojas, Edgar Alonso; Elmir, Ahmad; Axelsson, Stefan

PaySim: A financial mobile money simulator for fraud detection Inproceedings

The 28th European Modeling and Simulation Symposium-EMSS, Larnaca, Cyprus, 2016, ISBN: 9788897999683.

Abstract | Links | BibTeX

Lopez-Rojas, Edgar Alonso

Applying Simulation to the Problem of Detecting Financial Fraud PhD Thesis

Blekinge Institute of Technology, 2016, ISBN: 978-91-7295-329-1.

Abstract | Links | BibTeX


Lopez-Rojas, Edgar Alonso; Axelsson, Stefan

Social Simulation of Commercial and Financial Behaviour for Fraud Detection Research Inproceedings

Advances in Computational Social Science and Social Simulation, Barcelona, 2014, ISBN: 9789172952782.

Abstract | Links | BibTeX


Lopez-Rojas, Edgar Alonso; Axelsson, Stefan

Multi Agent Based Simulation (MABS) of Financial Transactions for Anti Money Laundering (AML) Inproceedings

Josang, Audun; Carlsson, Bengt (Ed.): Nordic Conference on Secure IT Systems (NORDSEC), pp. 25–32, Karlskrona, 2012, ISBN: 978-91-7295-973-6.

Abstract | Links | BibTeX