A New Framework for Fraud Detection in Bitcoin Transactions through Ensemble Stacking Model in Smart Cities

Bitcoin has a reputation of being used for unlawful activities, such as money laundering, dark web transactions, and payments for ransomware in the context of smart cities. Blockchain technology prevents illegal transactions, but cannot detect these transactions. Anomaly detection is a fundamental t...

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Veröffentlicht in:	IEEE access 2023-01, Vol.11, p.1-1
Hauptverfasser:	Nayyer, Noor, Javaid, Nadeem, Akbar, Mariam, Aldegheishem, Abdulaziz, Alrajeh, Nabil, Jamil, Mohsin
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Anomalies Anomaly detection Balancing Bitcoin Bitcoin Transaction Blockchains Classifiers Cryptography Cybersecurity Data search Decision trees Digital currencies Feature extraction Fraud Fraud prevention Hyperparameter Tuning Machine Learning Malware Optimization Parameter estimation Ransomware Ransomware Attack Recall Smart cities Stacking Stacking Model
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