Bitcoin and Cybersecurity: Temporal Dissection of Blockchain Data to Unveil Changes in Entity Behavioral Patterns

The Bitcoin network not only is vulnerable to cyber-attacks but currently represents the most frequently used cryptocurrency for concealing illicit activities. Typically, Bitcoin activity is monitored by decreasing anonymity of its entities using machine learning-based techniques, which consider the...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Francesco Zola, Jan Lukas Bruse, Maria Eguimendia, Mikel Galar, Raul Orduna Urrutia
Format:	Article
Language:	English
Published:	MDPI AG 2019-11-01
Subjects:	bitcoin analysis behavioral patterns machine learning time-series analysis entities detection ensemble learning
Online Access:	https://www.mdpi.com/2076-3417/9/23/5003