Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity

29 May 2020

Papers citing "Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity"

9 / 9 papers shown

Title
Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis Mohammad Hasan Mohammad Shahriar Rahman Helge Janicke Iqbal H. Sarker 32 23 0 07 Jan 2024
A Survey of Blockchain, Artificial Intelligence, and Edge Computing for Web 3.0 Jianjun Zhu Fan Li Jinyuan Chen 29 6 0 22 Nov 2023
The GANfather: Controllable generation of malicious activity to improve defence systems Ricardo Pereira Jacopo Bono João Tiago Ascensão David Oliveira Aparício Pedro Ribeiro P. Bizarro AAML 23 2 0 25 Jul 2023
Temporal and Geographical Analysis of Real Economic Activities in the Bitcoin Blockchain Rafael Ramos Tubino Rémy Cazabet Natkamon Tovanich C. Robardet 9 0 0 17 Jul 2023
Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics Youssef Elmougy Ling Liu 41 24 0 25 May 2023
Use of Federated Learning and Blockchain towards Securing Financial Services Pushpita Chatterjee Debashis Das D. Rawat AIFin 33 8 0 04 Feb 2023
Detecting Anomalous Cryptocurrency Transactions: an AML/CFT Application of Machine Learning-based Forensics Nadia Pocher Mirko Zichichi Fabio Merizzi Muhammad Shafiq S. Ferretti 29 32 0 07 Jun 2022
Fighting Money Laundering with Statistics and Machine Learning R. Jensen Alexandros Iosifidis 36 13 0 11 Jan 2022
Anomaly Detection in Blockchain Networks: A Comprehensive Survey Muneeb Ul Hassan M. H. Rehmani Jinjun Chen AI4TS 39 142 0 11 Dec 2021