Block chain-based information collaboration token allocation method and computing device

Abstract

The invention provides an intelligence collaborative token distribution method based on a block chain, which comprises the following steps: receiving data information uploaded by a first node and a second node, encrypting the data information, storing the data information in an intelligence library, and extracting digital fingerprints to be chained; judging whether the uploaded data information meets the issuing requirements of a first token reward and a second token reward or not according to the data category; and if the data category of the data information meets the issuing requirements of a first token reward and a second token reward, performing distribution of the first token reward and the second token reward, and generating first reward information to be chained and propagated in a block chain network. An intelligence transaction can be generated between the first node and the second node, a third token can be obtained, and a fourth token reward can be obtained according to the intelligence contribution degree of each participating node of each case. According to the method, the information circulation process can be mastered, the information is paid in an equal-quantity mode, corresponding rewards are given according to the contribution amount, and the enthusiasm of a user to participate in event cracking is stimulated.

Description

technical field [0001] The present invention relates to the field of block chain technology, in particular to a block chain-based information collaboration token distribution method, computing equipment, and a storage medium. Background technique [0002] At present, there are some intelligence collaborative research and judgment platforms that allow intelligence to circulate and share information. However, the existing intelligence research and judgment platforms only provide data for downloading and viewing. Due to the absence of an incentive mechanism, users are not motivated to share and participate in research and judgment data. In addition, the token distribution of data collaboration in event cracking is usually result-oriented. The value of users who provide clues and participate in research and judgment is difficult to reflect, and the results of data collaboration in event cracking are unreasonably and unfairly distributed. [0003] Due to the mismatch between the...

AI Technical Summary

Problems solved by technology

However, the existing intelligence research and judgment platforms only provide data for downloading and viewing. Due to the absence of an incentive mechanism, users are not motivated to share and participate in research and judgment data. In addition, the token distribution of data collaboration in event cracking is usually result-oriented. The value of users who provide clues and participate in research and judgment is difficult to reflect, and the results of data collaboration in event cracking are unreasonably and unfairly distributed

[0003] Due to the mismatch between the efforts and rewards of investigators and clue providers, they are usually not highly motivated, which leads to the serious phenomenon of "pocket data", and it is difficult to achieve effective coordination of intelligence information

The above problems ultimately lead to the ineffectiveness of data collaboration in event cracking

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