Data management system and method based on composite blockchain network

Abstract

The invention relates to a data management system and method based on a composite blockchain network, wherein the system comprises a first-level blockchain network and at least one second-level blockchain network; the second-level blockchain network comprises multiple mutually connected slave node servers; the second-level blockchain network sets a master node server in all the slave node servers; and the master node servers in all the second-level blockchain networks are mutually connected, so that the first-level blockchain network is formed. By means of the data management system and method disclosed by the invention, the integrity, the authenticity and the standardization of data can be ensured through audit signature verification of the composite multi-level blockchain network; the security of the data is ensured in a hierarchical encryption and multiple authorization mode; structural design of hierarchical storage of detailed data and classified index data is carried out through a blockchain technology and the composite multi-level network; therefore, the data is relatively smooth to interconnect, intercommunicate and exchange; furthermore, audit tracing can be realized; and the data retrieving, applying and sharing efficiency can be increased.

Description

technical field [0001] The present invention relates to the field of data management, in particular to a data management system and method based on a composite blockchain network. Background technique [0002] With the continuous development and progress of society, the collection and sharing of various data is becoming more and more important. At present, the following problems exist in the application, sharing and processing of data: [0003] 1. The data processing mode lacks a standardized audit trail, and the data is easily leaked or tampered with. [0004] 2. Different data centers are independent of each other, the exchange of information and data is not smooth, and the work efficiency is low. [0005] 3. The traditional data center model has low processing and utilization efficiency in the face of growing massive big data information source servers, scattered data storage, and poor integrity, authenticity, and security. [0006] 4. The operation and maintenance cost...

AI Technical Summary

Problems solved by technology

[0003] 1. The data processing mode lacks a standardized audit trail, and data is easily leaked or tampered with

[0004] 2. Different data centers are independent of each other, the exchange of information and data is not smooth, and the work efficiency is low

[0005] 3. The traditional data center mode faces the growing mass of big data information source server with low processing and utilization efficiency, scattered data storage, poor integrity, authenticity, and security

[0006] 4. The operation and maintenance cost of the data center is high, the data processing methods and standards are not uniform, and the serviceability of platform data retrieval, application and sharing is poor

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