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Communication Dans Un Congrès Année : 2020

Community Detection for Mobile Money Fraud Detection

Baptiste Hemery
Fabrice Jeanne
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Résumé

This paper presents an overview of a first-year PhD thesis. The main idea can be expressed as a community detection issue in a real network containing data from a telecommunications operator. More precisely, mobile money transactions will be studied, with a view to detecting fraudulent ones. For this purpose, we propose to address the problem by studying different community detection approaches. Indeed, in a network, communities are constituted between users sharing common habits, therefore fraudulent transactions may appear as unusual behaviors. The originality of this work is to process real data, gathered by a telecom operator. Complex network organization is expected, making this thesis quite promising.
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Dates et versions

hal-03949051 , version 1 (20-01-2023)

Identifiants

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Safa El Ayeb, Baptiste Hemery, Fabrice Jeanne, Estelle Pawlowski Cherrier. Community Detection for Mobile Money Fraud Detection. 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS), Dec 2020, Paris, France. ⟨10.1109/SNAMS52053.2020.9336578⟩. ⟨hal-03949051⟩
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