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

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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Bibliographic Details
Main Authors: Noor Nayyer, Nadeem Javaid, Mariam Akbar, Abdulaziz Aldegheishem, Nabil Alrajeh, Mohsin Jamil
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Bitcoin transaction
hyperparameter tuning
machine learning
ransomware attack
stacking model
smart cities
Online Access:https://ieeexplore.ieee.org/document/10229136/

Internet

https://ieeexplore.ieee.org/document/10229136/

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