A Iterative Method to Analyze Misbehavior in Blockchain by Transaction Graph Matrix-Reference-Cited by-同舟云学术

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A Iterative Method to Analyze Misbehavior in Blockchain by Transaction Graph Matrix

Published:2024-05-10 Issue: Volume: Page:6-10
ISSN:
Container-title:2024 4th International Conference on Information Communication and Software Engineering (ICICSE)
language:
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Author:

Liu Jian¹,Zhang Shaohua¹,Wei Lai²,Xiong Ruoting³,Ren Wei⁴

Affiliation:

1. Environmental Testing Research Institute,China Electronic Product Reliability,Guangzhou,China

2. China Construction Eighth Engineering Division,Shanghai,China

3. University of East Anglia,Department of Computing Science,Norfolk,UK

4. China University of Geosciences,School of Computer Science,Wuhan,China

Funder

Putian University

Chuzhou University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10624688/10625665/10625680.pdf?arnumber=10625680

Reference19 articles.

1. Blockchain Data Mining With Graph Learning: A Survey

2. Why blockchain needs graph: A survey on studies, scenarios, and solutions

3. Blockchain-enabled fraud discovery through abnormal smart contract detection on Ethereum

4. Detecting anomalous cryptocurrency transactions: An AML/CFT application of machine learning-based forensics

5. Ethereum transaction graph analysis

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