Service data transaction settlement method and system based on block chain

Abstract

The invention relates to the technical field of safety, and specifically discloses a service data transaction settlement method and system based on a block chain. The system includes: a processor; thesystem comprises a data resource server, a data resource user chain, a data resource right confirmation chain and a data resource transaction chain, the data resource user chain comprises a data userand a data provider, data is encrypted and decrypted in the data resource right confirmation chain, and the data resource transaction chain records transaction process information after the data userobtains use right. The system provided by the invention can ensure the data record security in the transaction, and solves the problems of data retention prevention, leakage prevention, traceabilityand credible transaction through three chains of the block chain.

Description

technical field [0001] The invention relates to the field of security technology, in particular to a blockchain-based service data transaction settlement method and system. Background technique [0002] The current financial institutions all have a registration and settlement system, which is used to register the assets of the users of the financial institutions, and settle transactions between users and financial institutions. Traditionally, financial institutions have relied on a centralized institution to verify all transactions, calculate equity transfers, and other services. Financial institutions purchase large commercial databases to store and record every transaction between users. You can use distributed storage to increase access speed, multi-server backup to ensure data security, or use cloud computing technology to increase the processing speed of concurrent transactions. When a certain server encounters an error, it needs to synchronize data from other servers...

AI Technical Summary

Problems solved by technology

[0004] However, the current data resource trading market and model are still immature, and there are problems such as difficult data resource integration, transaction difficulty, and transaction supervision, which restrict the further development of data resource transaction

In terms of digital resource management, the identification of service data resources is still limited within the platform, and the identification rules for different service content are different, and the role is single, and there is a lack of large-scale, cross-regional supply and demand docking and trading platforms

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