Anti-Laundering Approach for Bitcoin Transactions
Author:
Affiliation:
1. Jordan University of Science and Technology,Computer Information Systems,Irbid,Jordan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10330164/10330433/10330498.pdf?arnumber=10330498
Reference39 articles.
1. Economic and financial crime in Nigeria: Forensic accounting as antidote;Adegbie;British Journal of Arts and Social Sciences,2012
2. Graph-Based LSTM for Anti-money Laundering: Experimenting Temporal Graph Convolutional Network with Bitcoin Data
3. A Supervised Model to Detect Suspicious Activities in the Bitcoin Network
4. International anti‐money laundering programs
5. Pulsar candidate identification using semi-supervised generative adversarial networks
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