Synthetic logs generator for fraud detection in mobile transfer services

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

doi:10.1109/CTS.2013.6567225

Synthetic logs generator for fraud detection in mobile transfer services

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

Orange Labs
Normandie Université
GREYC CNRS Normandie University
Centre national de la recherche scientifique
CNRS LTCI

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

22 Citations (Scopus)

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 language	English
Title of host publication	Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013
Pages	174-179
Number of pages	6
DOIs	https://doi.org/10.1109/CTS.2013.6567225
Publication status	Published - 5 Sept 2013
Externally published	Yes
Event	2013 International Conference on Collaboration Technologies and Systems, CTS 2013 - San Diego, CA, United States Duration: 20 May 2013 → 24 May 2013

Publication series

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

Conference

Conference	2013 International Conference on Collaboration Technologies and Systems, CTS 2013
Country/Territory	United States
City	San Diego, CA
Period	20/05/13 → 24/05/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Access to Document

10.1109/CTS.2013.6567225

Cite this

Gaber, C., Hemery, B., Achemlal, M., Pasquet, M., & Urien, P. (2013). Synthetic logs generator for fraud detection in mobile transfer services. In Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013 (pp. 174-179). Article 6567225 (Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013). https://doi.org/10.1109/CTS.2013.6567225

@inproceedings{88e1d15d233a48098730f4f6158d7428,

title = "Synthetic logs generator for fraud detection in mobile transfer services",

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.",

author = "Chrystel Gaber and Baptiste Hemery and Mohammed Achemlal and Marc Pasquet and Pascal Urien",

year = "2013",

month = sep,

day = "5",

doi = "10.1109/CTS.2013.6567225",

language = "English",

isbn = "9781467364027",

series = "Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013",

pages = "174--179",

booktitle = "Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013",

note = "2013 International Conference on Collaboration Technologies and Systems, CTS 2013 ; Conference date: 20-05-2013 Through 24-05-2013",

}

Gaber, C, Hemery, B, Achemlal, M, Pasquet, M & Urien, P 2013, Synthetic logs generator for fraud detection in mobile transfer services. in Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013., 6567225, Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013, pp. 174-179, 2013 International Conference on Collaboration Technologies and Systems, CTS 2013, San Diego, CA, United States, 20/05/13. https://doi.org/10.1109/CTS.2013.6567225

Synthetic logs generator for fraud detection in mobile transfer services. / Gaber, Chrystel; Hemery, Baptiste; Achemlal, Mohammed et al.
Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013. 2013. p. 174-179 6567225 (Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Synthetic logs generator for fraud detection in mobile transfer services

AU - Gaber, Chrystel

AU - Hemery, Baptiste

AU - Achemlal, Mohammed

AU - Pasquet, Marc

AU - Urien, Pascal

PY - 2013/9/5

Y1 - 2013/9/5

N2 - 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.

AB - 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.

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M3 - Conference contribution

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T3 - Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013

SP - 174

EP - 179

BT - Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013

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Y2 - 20 May 2013 through 24 May 2013

ER -

Gaber C, Hemery B, Achemlal M, Pasquet M, Urien P. Synthetic logs generator for fraud detection in mobile transfer services. In Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013. 2013. p. 174-179. 6567225. (Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013). doi: 10.1109/CTS.2013.6567225

Synthetic logs generator for fraud detection in mobile transfer services

Abstract

Publication series

Conference

UN SDGs

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