Synthetic logs generator for fraud detection in mobile transfer services

Chrystel Gaber, Baptiste Hemery, Mohammed Achemlal, Marc Pasquet, Pascal Urien

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Mobile payments become more and more popular and thus are very attractive targets for fraudsters. As the latter always find new ways to commit crimes and avoid detection, research in the field of fraud is always evolving. However, transactional data and feedback from existing services are lacking. This article addresses this issue by proposing a synthetic data generator. Our idea is to model the behavior of various actors to generate testing data that researchers can use to evaluate approaches for identifying fraudulent transactions. This paper presents our approach and prototype. The logs generator was evaluated by comparing the generated synthetic logs with real ones.

Original languageEnglish
Title of host publicationProceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013
Pages174-179
Number of pages6
DOIs
Publication statusPublished - 5 Sept 2013
Externally publishedYes
Event2013 International Conference on Collaboration Technologies and Systems, CTS 2013 - San Diego, CA, United States
Duration: 20 May 201324 May 2013

Publication series

NameProceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013

Conference

Conference2013 International Conference on Collaboration Technologies and Systems, CTS 2013
Country/TerritoryUnited States
CitySan Diego, CA
Period20/05/1324/05/13

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