Credible pseudo-center storage system based on blockchain

Abstract

The invention discloses a credible pseudo-center storage system based on blockchain. The credible pseudo-center storage system comprises a blockchain node and a center storage node, wherein the blockchain node is a common block chain node, is responsible for completing various affairs of the block chain, and also has a function of interacting with the central storage node; the central storage node is responsible for receiving data information from the blockchain node, locally storing complete data and providing a query function for a user; on the basis of ensuring that the data cannot be modified and traceable, a central node is maintained through the blockchain node, pseudo-centralized storage of the data is realized, redundancy of common node data is greatly reduced, and meanwhile, authenticity of the data queried from the central node is ensured.

Description

technical field [0001] The invention relates to block chain technology, and relates to a trusted pseudo-central storage system based on block chain. Background technique [0002] The blockchain has the characteristics of anti-tampering, traceability, decentralization, etc. These properties can be used to derive various applications in different scenarios, among which traceability and anti-tampering can be used to trace the source of goods, As we all know, the anti-counterfeiting and traceability of commodities has always been a concern of consumers, because it is related to whether consumers can know the authenticity of the commodities they purchase. The traditional traceability method adopts a central storage system, which integrates the flow transactions of commodities, etc. The information is stored on the central server. Generally, anti-counterfeiting codes are pasted on the products for consumers to check. This method has two major disadvantages: one is that the reliabi...

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Problems solved by technology

[0002] The blockchain has the characteristics of anti-tampering, traceability, decentralization, etc. These properties can be used to derive various applications in different scenarios, among which traceability and anti-tampering can be used to trace the source of goods, As we all know, the anti-counterfeiting and traceability of commodities has always been a concern of consumers, because it is related to whether consumers can know the authenticity of the commodities they purchase. The traditional traceability method adopts a central storage system, which integrates the flow transactions of commodities, etc. The information is stored on the central server. Generally, anti-counterfeiting codes are pasted on the products for consumers to check. This method has two major disadvantages: one is that the reliability of the central server cannot be guaranteed, that is, whether the data of the central server has been tampered with; Most of the anti-counterfeiting codes are plain text, which is easy to be copied, and the anti-counterfeiting code itself may be counterfeited

However, the problem brought about by decentralization is that each node must completely save a complete ledger information. Originally, only one or a few copies of data were required to be stored on the central server, and tens of thousands of data must be stored on the blockchain. The redundancy of the data can be seen clearly. Obviously, the blockchain is applied to the traceability of commodities. This feature is a shortcoming that has side effects on the system. It greatly increases the storage burden of each node. Therefore, a block-based Chain, a credible pseudo-central storage system maintained by each node of the blockchain, not only ensures the credible traceability of data, but also effectively reduces the redundancy of data, especially suitable for applying blockchain to the traceability of commodities , of course, this system can also be considered as an optimized storage method of the blockchain, such as the Internet of Things + blockchain, because most of the nodes in the Internet of Things are designed for low power consumption, low consumption, especially not good at storing large amounts of data, Therefore, this system can be used to reduce the data volume of nodes

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