Research on Trusted Identification of Blockchain Uploaded Data

Shuaili Wang, Xuejun Yu
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引用次数: 2

Abstract

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.
区块链上传数据可信识别研究
区块链系统由于其去中心化的特点,使得区块链很难与互联网连接,这使得区块链的应用环境受到限制,尤其是在智能合约需要外部数据触发的情况下。在现有的解决方案中,很多都没有考虑区块链上传数据的安全性和可信度。这与区块链系统的初衷背道而驰。为了解决这一问题,本文提出了一种基于机器学习模型的可信数据识别方案。这使得链上的数据更加安全可靠。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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