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Detecting Illicit Entities in Bitcoin using Supervised Learning of Ensemble Decision Trees

Pranav Nerurkar 1 Yann Busnel 2, 3 Romaric Ludinard 2, 4 Kunjal Shah 1 Sunil Bhirud 1 Dhiren Patel 1
3 DIONYSOS - Dependability Interoperability and perfOrmance aNalYsiS Of networkS
Inria Rennes – Bretagne Atlantique , IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES
4 ADOPNET - Advanced technologies for operated networks
UR1 - Université de Rennes 1, IMT Atlantique - IMT Atlantique Bretagne-Pays de la Loire, IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES
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https://hal-imt-atlantique.archives-ouvertes.fr/hal-02952081
Contributor : Yann Busnel <>
Submitted on : Tuesday, September 29, 2020 - 11:01:10 AM
Last modification on : Thursday, October 1, 2020 - 3:11:04 AM

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Pranav Nerurkar, Yann Busnel, Romaric Ludinard, Kunjal Shah, Sunil Bhirud, et al.. Detecting Illicit Entities in Bitcoin using Supervised Learning of Ensemble Decision Trees. ICICM 2020 : 10th International Conference on Information Communication and Management, Aug 2020, Paris France, France. pp.25-30, ⟨10.1145/3418981.3418984⟩. ⟨hal-02952081⟩

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