Research and Implementation of Data Storage Management System Based on Blockchain Technology
Authors: 
Deng Jian-zhi, Wu Hao, Guo XuanAuthors Info & Claims
Deng Jian-zhi, Wu Hao, Guo XuanAuthors Info & ClaimsPages 325 - 333
Abstract
This thesis develops blockchain data storage management system based on the relevant basic theory of blockchain. The system is based on an open source project of Hyperledger. Through the integration of various projects, this paper introduces a blockchain data transmission management system to provide users with a series of services related to data sharing and management across units. The system uses blockchain technology to solve the problems of encryption, disaster tolerance, sharing, and multi-unit coordination. This system uses smart contracts to ensure the security of the data used, without the involvement of third-party authorities or central proxy services, and without the need to set up a separate server. The system mainly reflects the characteristics of system decentralization, trust, secure transmission, collective maintenance, and trusted data management. The system uses the Java language, the Linux development environment, based on the fabric project, the league chain as the technology foundation, and the hierarchical structure design idea.
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- Research and Implementation of Data Storage Management System Based on Blockchain Technology
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Information & Contributors
Information
Published In
November 2019
528 pages
ISBN:9781450361910
DOI:10.1145/3378065
Copyright © 2019 ACM.
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In-Cooperation
- Guilin: Guilin University of Technology, Guilin, China
- Wuhan University of Technology: Wuhan University of Technology, Wuhan, China
- International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 08 April 2020
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- Research-article
- Research
- Refereed limited
Conference
ICIIP 2019
ICIIP 2019: 2019 4th International Conference on Intelligent Information Processing
November 16 - 17, 2019
China, China
Acceptance Rates
Overall Acceptance Rate 87 of 367 submissions, 24%
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