Machine learning-based ransomware classification of Bitcoin transactions

Ransomware presents a significant threat to the security and integrity of cryptocurrency transactions. This research paper explores the intricacies of ransomware detection in cryptocurrency transactions using the Bitcoinheist dataset. The dataset encompasses 28 distinct families classified into thre...

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Bibliographic Details
Published in:	Journal of King Saud University: Computer and Information Sciences
Main Authors:	Omar Dib, Zhenghan Nan, Jinkua Liu
Format:	Article
Language:	English
Published:	Springer 2024-01-01
Subjects:	Ransomware detection Cryptocurrency transactions BitcoinHeist dataset Machine learning methods Anomaly detection
Online Access:	http://www.sciencedirect.com/science/article/pii/S1319157824000144

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