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在以太坊区块链中提高欺诈检测,使用集体学习.

Zhexian Gu1,2,3, Omar Dib1,2,3

  • 1Department of Computer Science, Kean University, Union, New Jersey, United States.

PeerJ. Computer science
|March 10, 2025
PubMed
概括

本研究介绍了一种集体学习方法,以检测欺诈性的以太坊区块链交易,增强分散金融和在线商务的安全性. 该系统的准确性超过98%,帮助矿工和当局打击非法活动.

关键词:
区块链 区块链 区块链 区块链加密货币 加密货币.网络安全 网络安全组合学习学习 组合学习对于以太坊 (Ethereum) 来说,它是以太坊.金融安全 金融安全欺诈检测 欺诈检测 欺诈检测机器学习 机器学习

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