Graph-Based Bitcoin Fraud Detection Using Variational Graph Autoencoders and Supervised Learning

Bitcoin is a decentralized cryptocurrency, which is rapidly growing and offering many advantages. Although its structure protects users from some types of fraud, it is not completely immune, while fraud detection in Bitcoin remains still relatively unexplored. In this paper, we use a graph to model...

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Veröffentlicht in:	Procedia computer science Jg. 257; S. 817 - 825
Hauptverfasser:	Koronaios, Argyrios, Koloniari, Georgia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 2025
Schlagworte:	Bitcoin Classification Fraud Detection Graph Autoencoder Network Analysis Network Analysis Bitcoin Classification Graph Autoencoder Fraud Detection
ISSN:	1877-0509, 1877-0509
Online-Zugang:	Volltext
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