A blockchain internet of things data integrity detection model

Xia Wu, Fan-xin Kong, Jupeng Shi, L. Bao, Feng Gao, Jing Li
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引用次数: 3

Abstract

The Industrial Internet of Things (IIoT) plays an indispensable role in Industry 4.0. People are committed to a universal, scalable, and secure IIoT system for use in a variety of industries. However, existing IIoT systems are not prone to provide stable services due to single points of failure and malicious attacks. In the era of big data, countless machines and equipment are generating data all the time, which can be used for scientific research, commodity production, and improving the efficiency of industrial development. Since the Internet of Things (IoT) connects all the smart machines together, ensuring data integrity is of great significance. How to ensure and detect the data integrity of the IoT is a topic of concern. This paper designs and implements a distributed blockchain data simulation system for data integrity assurance and detection in the context of IIoT applications. A method for assuring and detecting the integrity of IoT data is presented. A complete simulation system of IoT data based on blockchain is designed and implemented. The time consumed in the block mining process under different parameters is measured, and the correlation between the block mining time and different parameters is found, and the law of the influence of different parameters on the block mining time is obtained.
区块链物联网数据完整性检测模型
工业物联网(IIoT)在工业4.0中扮演着不可或缺的角色。人们致力于一个通用的、可扩展的、安全的工业物联网系统,用于各种行业。然而,由于单点故障和恶意攻击,现有的工业物联网系统不容易提供稳定的服务。在大数据时代,无数的机器设备每时每刻都在产生数据,这些数据可以用于科学研究,商品生产,提高产业发展的效率。由于物联网(IoT)将所有智能机器连接在一起,因此确保数据完整性具有重要意义。如何保证和检测物联网的数据完整性是一个备受关注的话题。本文设计并实现了一个分布式区块链数据仿真系统,用于工业物联网应用背景下的数据完整性保障与检测。提出了一种保证和检测物联网数据完整性的方法。设计并实现了一套完整的基于区块链的物联网数据仿真系统。测量了不同参数下区块挖掘过程中所消耗的时间,发现了区块挖掘时间与不同参数之间的相关性,得到了不同参数对区块挖掘时间的影响规律。
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