Titlebook: Blockchain and Trustworthy Systems; Third International Hong-Ning Dai,Xuanzhe Liu,Xiangping Chen Conference proceedings 2021 Springer Natu

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種類

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

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

RADE

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

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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

憂傷

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