Transaction data tracing method and system based on block chain

Abstract

The invention discloses a transaction data tracing method and system based on a block chain. The method comprises the steps that a service layer collects original transaction service data in real time; the service layer pushes the collected original transaction service data to a traceability data platform; the traceability data platform encrypts the original transaction service data and pushes theencrypted information to a blockchain bottom layer; the blockchain bottom layer writes the encrypted information into the block, generates a corresponding traceability ID and returns the traceabilityID to the traceability data platform; and when a user initiates a transaction service data traceability request, the traceability data platform uses the traceability ID to inquire and verify the information and then returns a traceability result. The system comprises a user layer, a service layer, a traceability data platform and the blockchain bottom layer. Data tracing does not simply depend onmain body credit of any party, but is based on the block chain and Internet of Things technology; and efficient, stable and reliable storage of whole-process data and tracing and backtracking of whole-life-cycle data are realized by utilizing the characteristics of trustworthiness, traceability, repudiation resistance, expandability and the like of the block chain technology.

Description

technical field [0001] The present invention relates to the field of transaction data traceability, in particular to a transaction data traceability method and system based on blockchain. Background technique [0002] In the commodity industry, the supply chain is relatively isolated, and each node in an industrial chain forms an information island. The degree of informatization in the whole process is low, and it is extremely difficult to trace transaction data. [0003] Scenario 1: The maintenance of transaction data needs to rely on the collaborative operation of large insurance companies, credit agencies, electronic certification agencies, supply chain service companies, e-commerce companies, spot and futures exchanges, arbitration institutions, quality inspection agencies, etc. The trust among institutions at all levels mostly depends on the reputation and scale of the third-party platform. Once the third-party platform is attacked, or there is fraud or data tampering ...

AI Technical Summary

Problems solved by technology

However, in actual transactions, there is no very effective way to guarantee the authenticity of transaction data.

Once one party to the transaction tampers with the historical transaction information, the authenticity of the transaction information will not be guaranteed in the most direct way. It is difficult for the capital to ensure the authenticity of the business data and the clarity of the property rights in the credit business or mortgage financing, so that it is impossible to avoid the loan during and after the loan. losses, many credit default events cannot be resolved

[0005] Scenario 3: The information of each link of each participant in the supply chain is scattered and stored within each subject. The information between each subject is not transparent enough, the information transmission speed is slow, and it is easy to be artificially modified, resulting in a lack of trust between each subject. During the traceability process, many core data involve commercial secrets. Enterprises are worried about data leakage, which makes it difficult for enterprises to balance data transparency and privacy protection.

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