Cross-domain model multi-party transaction credibility and ledger method

Abstract

The invention provides a cross-domain model multi-party transaction credibility and ledger method. The method comprises the following steps: user CA authentication; newly establishing a cross-domain model, generating a model copyright through a blockchain intelligent contract, and giving a user an integral; sharing the cross-domain model to other users through a blockchain intelligent contract, and giving point rewards to the users; cross-domain model operation records calculation power resources, data resources and intelligence resources provided by other cities through a blockchain intelligent contract, and gives model sharers point rewards; and the user cancels cross-domain model sharing through the blockchain intelligent contract, and deducts points for the user. According to the method, the block chain technology is innovatively used for solving the enthusiasm and value quantification of model thought sharing, and a trusted crowd-sourcing integral mechanism is established.

Description

technical field [0001] The invention relates to the technical field of block chains, in particular to a credible and ledger-based method for cross-domain model multi-party transactions. Background technique [0002] With the advancement of technology and the improvement of information systems, the production efficiency of data has shown a geometric growth, including the basic information of each element, information on behavioral rules, etc.; Association mining analysis provides technical support, society has entered an era where data is king, and big data has become an indispensable part of social productivity; big data, as an intangible asset of individuals, enterprises and governments, is being used in invisible forms , efficient transfer between enterprises and various government departments, and plays an important role in social progress and problem solving; however, how to quantify the value of big data and how to carry out trusted transactions between two parties and ...

AI Technical Summary

Problems solved by technology

[0028] 2. Lack of trust environment for data transactions

[0029] In the digital age, the demand for data from individuals and enterprises is very strong; however, in the popular data sharing, there is often a lack of a trustworthy environment to support, resulting in obstacles to data sharing and circulation

[0030] 3. Traditional bookkeeping methods are poor in security

[0031] The traditional data accounting method is stored in plain text for each user and can be changed at will, so the security is relatively poor

[0032] 4. Poor fault tolerance

[0033] The fault tolerance of traditional accounting technology is relatively poor. Often, an abnormality in one or two nodes will affect the entire accounting system, causing very large economic losses to individuals or organizations

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