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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Bibliographic Details

Published in:	Procedia computer science Vol. 257; pp. 817 - 825
Main Authors:	Koronaios, Argyrios, Koloniari, Georgia
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 2025
Subjects:	Bitcoin Classification Fraud Detection Graph Autoencoder Network Analysis Network Analysis Bitcoin Classification Graph Autoencoder Fraud Detection
ISSN:	1877-0509, 1877-0509
Online Access:	Get full text
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