Vasoconstrictor 发表于 2025-3-26 23:17:51

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吹气 发表于 2025-3-27 04:49:30

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种类 发表于 2025-3-27 08:33:53

Threat Prediction of Abnormal Transaction Behavior Based on Graph Convolutional Network in Blockchai the security of a large number of users’ assets. Therefore, the research on the threat prediction method of abnormal transaction behavior of blockchain digital currency is beneficial to actively prevent the threat of abnormal transaction behavior, and is of great significance to maintain the ecolog

存心 发表于 2025-3-27 11:23:28

https://doi.org/10.1007/978-981-16-7993-3artificial intelligence; authentication; blockchain; computer networks; computer security; computer syste

RADE 发表于 2025-3-27 14:54:52

978-981-16-7992-6Springer Nature Singapore Pte Ltd. 2021

我吃花盘旋 发表于 2025-3-27 20:17:51

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compose 发表于 2025-3-27 23:45:14

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的染料 发表于 2025-3-28 04:46:15

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不可思议 发表于 2025-3-28 06:15:14

https://doi.org/10.1007/978-0-933876-99-6Meanwhile, with the advent of blockchain technology, cryptocurrencies have attracted attention in the financial field and the public. Therefore, there has been a lot of researches done on the time series prediction of cryptocurrencies. However, most of these studies are about predicting the prices o

忧伤 发表于 2025-3-28 10:56:54

https://doi.org/10.1007/978-0-933876-99-6rious applications. However, since users use pseudonyms in Ethereum, it is hard to know the true identity behind an account. Meanwhile, a large number of cyber-crimes in Ethereum emerged and have been reported. Therefore, it is an important task to analyze the transaction behavior of accounts in Eth
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查看完整版本: Titlebook: Blockchain and Trustworthy Systems; Third International Hong-Ning Dai,Xuanzhe Liu,Xiangping Chen Conference proceedings 2021 Springer Natu