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GraphSIF: analyzing flow of payments in a Business-to-Business network to detect supplier impersonation

Rémi Canillas Omar Hasan 1, 2, 3 Laurent Sarrat Lionel Brunie 
1 LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 DRIM - Distribution, Recherche d'Information et Mobilité
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
3 INSA Lyon - Institut National des Sciences Appliquées de Lyon
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Journal articles
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https://hal-cnrs.archives-ouvertes.fr/hal-02989006
Contributor : Omar Hasan Connect in order to contact the contributor
Submitted on : Thursday, November 5, 2020 - 3:09:19 AM
Last modification on : Friday, September 30, 2022 - 11:34:15 AM

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CNRS | UNIV-LYON1 | UNIV-LYON2 | INSA-LYON | EC-LYON | LIRIS | INSA-GROUPE | UDL

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Rémi Canillas, Omar Hasan, Laurent Sarrat, Lionel Brunie. GraphSIF: analyzing flow of payments in a Business-to-Business network to detect supplier impersonation. Applied Network Science, Springer, 2020, 5 (1), ⟨10.1007/s41109-020-00283-1⟩. ⟨hal-02989006⟩

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