{"title":"Topic: Scoping review of Blockchain based data storage technique in industrial IoT data management","authors":"A. Aanchal, P. Prasad","doi":"10.1109/citisia53721.2021.9719953","DOIUrl":null,"url":null,"abstract":"The review study was based on the integrated network and the secured protocols and blockchain technology to detect security issues and protect the user’s data storage. The study aims to review the recently published research articles that state the data storage techniques and blockchain technology for the IIoT to manage data confidentiality. The method opted here was the literature review for the collections and knowledge of the data management. Moreover, a secondary research method was selected in which the currently published research article was gathering to review the literature. The research paper's expected finding was that data storage and data management are the two crucial factors that had been used within the industry for allocation and work management. It had helped in enhancing industrial performance. The research work's contribution is in data collection from different libraries based on data storage techniques. This work plays a huge contributory role in investigating the currently available solutions dependent on blockchain technology and data storage technique for managing the data effectively and delivering valuable insights for data storage capabilities. The review study included different factors and attributes classified by considering different instances as per the author’s interest. The major component was also evaluated in this study through a different segment, including error rate and accuracy matrix that shows the system validation. The study verifies the system by considering different terms and their related frequency in the last segment, which justifies system accuracy.","PeriodicalId":252063,"journal":{"name":"2021 6th International Conference on Innovative Technology in Intelligent System and Industrial Applications (CITISIA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th International Conference on Innovative Technology in Intelligent System and Industrial Applications (CITISIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/citisia53721.2021.9719953","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The review study was based on the integrated network and the secured protocols and blockchain technology to detect security issues and protect the user’s data storage. The study aims to review the recently published research articles that state the data storage techniques and blockchain technology for the IIoT to manage data confidentiality. The method opted here was the literature review for the collections and knowledge of the data management. Moreover, a secondary research method was selected in which the currently published research article was gathering to review the literature. The research paper's expected finding was that data storage and data management are the two crucial factors that had been used within the industry for allocation and work management. It had helped in enhancing industrial performance. The research work's contribution is in data collection from different libraries based on data storage techniques. This work plays a huge contributory role in investigating the currently available solutions dependent on blockchain technology and data storage technique for managing the data effectively and delivering valuable insights for data storage capabilities. The review study included different factors and attributes classified by considering different instances as per the author’s interest. The major component was also evaluated in this study through a different segment, including error rate and accuracy matrix that shows the system validation. The study verifies the system by considering different terms and their related frequency in the last segment, which justifies system accuracy.