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

Rémi Canillas; Omar Hasan; Laurent Sarrat; Lionel Brunie

doi:10.1007/s41109-020-00283-1

Journal Articles Applied Network Science Year : 2020

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

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Rémi Canillas

Function : Author
PersonId : 170858
IdHAL : remi-canillas

Omar Hasan

Function : Author
PersonId : 5705
IdHAL : omarhasan
IdRef : 150551010

Laboratoire d'InfoRmatique en Image et Systèmes d'information

Distribution, Recherche d'Information et Mobilité

Institut National des Sciences Appliquées de Lyon

Laurent Sarrat

Function : Author

Lionel Brunie

Function : Author
PersonId : 4389
IdHAL : lionel-brunie
IdRef : 072328908

CV

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Machine Learning [cs.LG]

Omar Hasan : Connect in order to contact the contributor

https://cnrs.hal.science/hal-02989006

Submitted on : Thursday, November 5, 2020-3:09:19 AM

Last modification on : Wednesday, September 4, 2024-5:34:06 PM

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hal-02989006 , version 1 (05-11-2020)

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HAL Id : hal-02989006 , version 1
DOI : 10.1007/s41109-020-00283-1

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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, 2020, 5 (1), ⟨10.1007/s41109-020-00283-1⟩. ⟨hal-02989006⟩

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

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