Detecting anomalies in blockchain transactions using machine learning classifiers and explainability analysis
As the use of blockchain for digital payments continues to rise, it becomes susceptible to various malicious attacks. Successfully detecting anomalies within blockchain transactions is essential for bolstering trust in digital payments. However, the task of anomaly detection in blockchain transactio...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-09-01
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| Series: | Blockchain: Research and Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2096720924000204 |
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