Detecting Ethereum Ponzi Scheme Based on Hybrid Sampling for Smart Contract

With the widespread use of blockchain technology for smart contracts and decentralized applications on the Ethereum platform, the blockchain has become a cornerstone of trust in the modern financial system. However, its anony... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2024-12-20
DOI
https://doi.org/10.32604/cmc.2024.057368
Citations
4
Primary Topic
Imbalanced Data Classification Techniques
Type
article
Field-Weighted Citation Impact
1.39

Funders

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article

Detecting Ethereum Ponzi Scheme Based on Hybrid Sampling for Smart Contract

Xia-Meng Si, Haiyan Kang, Hanlin Zhou, Yuanjun Qu
4 citations
Computers, materials & continua/Computers, materials & continua (Print)
Imbalanced Data Classification Techniques
1.39
article

Detecting Ethereum Ponzi Scheme Based on Hybrid Sampling for Smart Contract

Xia-Meng Si, Haiyan Kang, Hanlin Zhou, Yuanjun Qu
article en
4 citations

Abstract

With the widespread use of blockchain technology for smart contracts and decentralized applications on the Ethereum platform, the blockchain has become a cornerstone of trust in the modern financial system. However, its anony... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 82(2)
Beijing Information Science and Technology University, National Social Science Fund of China
Openalex Percentile: Top 15%
Imbalanced Data Classification Techniques
1.39
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