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Detection of money laundering in bitcoin transactions

https://doi.org/10.1049/icp.2022.0387
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inferred← citeshttps://doi.org/10.2139/ssrn.4789176openalex-extracted
Bitcoin Transaction Fraud Detection Model Using Semi-Supervised Co-Training by Committee for Financial Institutions
inferred← citeshttps://doi.org/10.1007/s12083-024-01829-1openalex-snapshot
Unveiling bitcoin network attack using deep reinforcement learning with Boltzmann exploration
inferred← citeshttps://doi.org/10.1007/s41870-024-02318-7openalex-snapshot
Integrating blockchain and machine learning for enhanced anti-money laundering system
inferred← citeshttps://doi.org/10.1049/blc2.12044openalex-snapshot
BlockDetective: A GCN‐based student–teacher framework for blockchain anomaly detection
inferred← citeshttps://doi.org/10.1108/jmlc-07-2024-0108openalex-snapshot
Anti money laundering system in detecting and preventing money laundering activities: a systematic review
inferred← citeshttps://doi.org/10.1109/access.2023.3308298openalex-snapshot
A New Framework for Fraud Detection in Bitcoin Transactions Through Ensemble Stacking Model in Smart Cities
inferred← citeshttps://doi.org/10.1109/iccta64612.2024.10974876openalex-snapshot
A Comparative Analysis for Anomaly Detection in Blockchain Networks Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/icecta57148.2022.9990475openalex-snapshot
Different Techniques And Algorithms To Combat The Issue Of Money Laundering In Bitcoin
inferred← citeshttps://doi.org/10.1109/iciss67859.2026.11453936openalex-snapshot
An Explainable Data Leakage-Resistant Ensemble Learning Approach for Anti-Money Laundering
inferred← citeshttps://doi.org/10.1109/icsseecc61126.2024.10649485openalex-snapshot
An Effective Anti-Money Laundering System Using Block Chain Technology
inferred← citeshttps://doi.org/10.1109/mrai70020.2026.11621843openalex-snapshot
A Multi-Source Temporal Graph Object Detection Network for Rare-Event Blockchain Anomaly Localization
inferred← citeshttps://doi.org/10.1109/satc65530.2025.11137255openalex-snapshot
Advanced Machine Learning Models for Anti-Money Laundering (AML): Improving Detection Accuracy and Efficiency
inferred← citeshttps://doi.org/10.1109/tcss.2025.3589343openalex-snapshot
DyHom-SSL: Homophily-Aware Semisupervised Learning With Dynamic Pseudolabels for Bitcoin Money Laundering Detection
inferred← citeshttps://doi.org/10.12720/jait.14.4.639-647openalex-snapshot
Empirical Evaluation of Machine Learning Performance in Forecasting Cryptocurrencies
inferred← citeshttps://doi.org/10.15294/islrev.v5i2.47491openalex-snapshot
Bitcoin's Position in Indonesian Currency Law
inferred← citeshttps://doi.org/10.15388/25-infor598openalex-snapshot
Anti-Money Laundering Compliance Using Feature Engineering with SQL Analytics, TF-IDF and Oversampling: Conditional Tabular Generative Adversarial Networks
inferred← citeshttps://doi.org/10.3390/electronics11193142openalex-snapshot
PDF Malware Detection Based on Optimizable Decision Trees
inferred← citeshttps://doi.org/10.3390/en14216935openalex-snapshot
Meticulously Intelligent Identification System for Smart Grid Network Stability to Optimize Risk Management
inferred← citeshttps://doi.org/10.3390/info14030171openalex-snapshot
Scams and Solutions in Cryptocurrencies—A Survey Analyzing Existing Machine Learning Models
inferred← citeshttps://doi.org/10.3390/informatics12020043openalex-snapshot
Leveraging K-Means Clustering and Z-Score for Anomaly Detection in Bitcoin Transactions
inferred← citeshttps://doi.org/10.3390/s25020342openalex-snapshot
Cybersecurity Attacks and Detection Methods in Web 3.0 Technology: A Review
inferred← citeshttps://doi.org/10.37745/ejaafr.2013/vol12n45480openalex-snapshot
Integrating Machine Learning in Anti-Money Laundering through Crypto: A Comprehensive Performance Review
inferred← citeshttps://doi.org/10.4018/979-8-3373-7961-6.ch003openalex-snapshot
Virtual Currency Tax Avoidance in the United Arab Emirates
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