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[会议论文]

Research on Trusted Identification of Blockchain Uploaded Data

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作者:

Wang, Shuai (Wang, Shuai.) | Yu, Xuejun (Yu, Xuejun.)

收录:

EI Scopus

摘要:

Due to its decentralized feature, blockchain system makes it difficult to connect blockchain with the Internet, which makes the application environment of blockchain limited, especially when the smart contract requires external data trigger. Among the existing solutions, many of them do not consider the security and credibility of the Blockchain upload data. This is contrary to the original intention of the blockchain system. To solve this problem, this paper proposes a trusted data recognition scheme based on machine learning model. This makes the data on the chain more secure and reliable. © 2020 IEEE.

关键词:

Blockchain Artificial intelligence Smart contract

作者机构:

  • [ 1 ] [Wang, Shuai]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 2 ] [Yu, Xuejun]Beijing University of Technology, Faculty of Information Technology, Beijing, China

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来源 :

年份: 2020

页码: 1036-1044

语种: 英文

被引次数:

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SCOPUS被引频次: 2

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