Data Mining Model of Internet of Things based on Blockchain Technology

Hongping Cao, Hongxing Cao, Guiping Liang
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Abstract

With the rapid development of the Internet of things, there are problems such as networking cost, data sharing, privacy and security protection. With its decentralized architecture and distributed node deployment, blockchain can effectively reduce the operation cost of the Internet of things, ensure the accuracy and non tamperability of the recorded information, and make privacy and security based. With the heated discussion on blockchain and the Internet of things technology widely infiltrated in people’s lives, it can be found that the distributed and decentralized characteristics of blockchain have many similarities with the distributed characteristics of the Internet of things. The best application scenario of blockchain technology is the Internet of things. In the Internet of things, the core of the value and development of data is the massive data of devices. Solving the problems of trusted operation and heavy operation between IOT systems in different fields is the core goal of blockchain application in IOT. On this basis, an open ecosystem is constructed. This paper focuses on the consensus mechanism in the blockchain system, makes a quantitative comparison of the current mainstream consensus mechanisms in terms of throughput and delay, analyzes the advantages and disadvantages of each consensus algorithm, and systematically studies the widely used consensus mechanism.
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基于区块链技术的物联网数据挖掘模型
随着物联网的快速发展,出现了联网成本、数据共享、隐私和安全保护等问题。区块链以其去中心化的架构和分布式的节点部署,可以有效降低物联网的运行成本,保证记录信息的准确性和不可篡改性,以隐私和安全为基础。随着对区块链和物联网技术的热议广泛渗透到人们的生活中,可以发现区块链的分布式、去中心化特性与物联网的分布式特性有很多相似之处。区块链技术的最佳应用场景是物联网。在物联网中,数据的价值和发展的核心是设备的海量数据。解决不同领域物联网系统之间的信任操作和重操作问题是区块链在物联网应用中的核心目标。在此基础上,构建一个开放的生态系统。本文以区块链系统中的共识机制为研究对象,对当前主流的共识机制在吞吐量和延迟方面进行了定量比较,分析了每种共识算法的优缺点,系统研究了广泛使用的共识机制。
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