MT $$^2$$ 2 AD: multi-layer temporal transaction anomaly detection in ethereum networks with GNN

MT $$^2$$ 2 AD: multi-layer temporal transaction anomaly detection in ethereum networks with GNN

Abstract In recent years, a surge of criminal activities with cross-cryptocurrency trades have emerged in Ethereum, the second-largest public blockchain platform. Most of the existing anomaly detection methods utilize the traditional machine learning with feature engineering or graph representation...

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Bibliographic Details
Main Authors: Beibei Han, Yingmei Wei, Qingyong Wang, Francesco Maria De Collibus, Claudio J. Tessone
Format: Article
Language:English
Published: Springer 2023-07-01
Series:Complex & Intelligent Systems
Subjects:
Anomaly detection
Multi-layer transaction networks
Graph classification
Temporal network
Graph representation learning
Online Access:https://doi.org/10.1007/s40747-023-01126-z

Internet

https://doi.org/10.1007/s40747-023-01126-z

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