Xia Wu, Fan-xin Kong, Jupeng Shi, L. Bao, Feng Gao, Jing Li
{"title":"A blockchain internet of things data integrity detection model","authors":"Xia Wu, Fan-xin Kong, Jupeng Shi, L. Bao, Feng Gao, Jing Li","doi":"10.1145/3373477.3373498","DOIUrl":null,"url":null,"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.","PeriodicalId":300431,"journal":{"name":"Proceedings of the 1st International Conference on Advanced Information Science and System","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1st International Conference on Advanced Information Science and System","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3373477.3373498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.