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

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

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.

langue originale	Anglais
titre	Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013
Pages	174-179
Nombre de pages	6
Les DOIs	https://doi.org/10.1109/CTS.2013.6567225
état	Publié - 5 sept. 2013
Modification externe	Oui
Evénement	2013 International Conference on Collaboration Technologies and Systems, CTS 2013 - San Diego, CA, États-Unis Durée: 20 mai 2013 → 24 mai 2013

Série de publications

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

Une conférence

Une conférence	2013 International Conference on Collaboration Technologies and Systems, CTS 2013
Pays/Territoire	États-Unis
La ville	San Diego, CA
période	20/05/13 → 24/05/13

SDG des Nations Unies

Ce résultat contribue à ou aux Objectifs de développement durable suivants

SDG 16 Paix, justice et institutions solides

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10.1109/CTS.2013.6567225

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Gaber, C., Hemery, B., Achemlal, M., Pasquet, M., & Urien, P. (2013). Synthetic logs generator for fraud detection in mobile transfer services. Dans Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013 (p. 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. Dans 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, p. 174-179, 2013 International Conference on Collaboration Technologies and Systems, CTS 2013, San Diego, CA, États-Unis, 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).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

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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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DO - 10.1109/CTS.2013.6567225

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SN - 9781467364027

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

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

T2 - 2013 International Conference on Collaboration Technologies and Systems, CTS 2013

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ER -

Gaber C, Hemery B, Achemlal M, Pasquet M, Urien P. Synthetic logs generator for fraud detection in mobile transfer services. Dans 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

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SDG des Nations Unies

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