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Transaction graph based key node identification for blockchain regulation

delete2024-09-04
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PRE
AI
Y
Yiren Hu
X
Xiaozhen Lu
W
Wei Wang *
P
Ping Cao
DOI：10.1007/s12083-024-01783-ydelete
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Abstract

Abstract

En 中文
The inherent distributed and anonymity features of the blockchain system may cause illegal activities like improper content dissemination, illegal transactions, money laundering, etc., posing a severe threat to the blockchain. Due to the ultra-large scale of the public chain system, identifying key nodes in the transaction network is usually cost-intensive and time-consuming. In this paper, we propose a transaction graph-based scheme to identify key nodes in the public blockchain, where a multi-stage key node detection algorithm is proposed. Real Ethereum transaction data validates the performance of the proposed scheme. It is shown that with a data volume of millions of items, our multi-stage approach can effectively eliminate low-value information from the data and realize high-efficiency key node detection, with similar performance compared to traditional algorithms without filtering, and an extremely large improvement in algorithm execution time.
Keywords:
Blockchain regulation
Key node identification
Ethereum transaction data

Journal

Peer-to-Peer Networking and Applications cover
Peer-to-Peer Networking and Applications
IF:
2.6
Papers:
2.2K
Citations:
2.9K

Organization

No organization information available