Data tracing circulation method and system based on network trust

Abstract

The invention provides a data tracing circulation method and system based on network trust. The method comprises the steps that a data circulation platform receives authorization data items sent by a data authorization party to obtain an authorization data item set, and the authorization data item set is stored in an interstellar file system; a data query request sent by a data demander is received, the data query request comprises required data items, whether the required data items are in an authorized data item set is verified, and if yes, the data query request is routed to an edge node corresponding to a data owner corresponding to the authorized data items; the edge node obtains target data according to the required data item and stores the target data in an interstellar file system; the data circulation platform obtains target data through the interstellar file system and forwards the target data to a data demander; the data exchange between the data circulation platform and the edge node is realized through the interstellar file system, the data transmission efficiency is improved, and the real-time performance of the data is ensured by directly acquiring the data from the data owners.

Description

technical field [0001] The present invention relates to the field of data communication, in particular to a method and system for traceability and circulation of data based on network trust. Background technique [0002] With the development of the social digital economy, promoting the deep integration of the digital economy and the real economy, establishing basic systems and standards such as data resource property rights, transaction circulation, cross-border transmission and security protection, and promoting the development and utilization of data resources have become the key to ensuring a better digital economy. An important direction for faster development. Data has gradually become an important factor of production circulating in society, and the infrastructure supporting data circulation is the core and key of data circulation. [0003] At present, there are two main ways of data circulation. One is to aggregate the data of each data owner into the data center, an...

AI Technical Summary

Problems solved by technology

[0003] At present, there are two main ways of data circulation. One is to aggregate the data of each data owner into the data center, and the data demander directly accesses the data center to obtain the required data, so as to realize the sharing and open circulation of data; In the scenario of multiple data sources on a large scale, the data aggregation process is difficult, and the original data in the data owner needs to be re-acquired after the original data is changed, so that the timeliness of the data accessed by the demander is weakened; the second is not to aggregate data, The data demander directly applies to the data owner for data acquisition, and the data owner sends the data to the data demander in real time. In the case of large-scale cross-platform multi-source data, the demander’s request is cumbersome. If a platform is built for data request Forwarding, processing a large number of concurrent messages requires a complex asynchronous delivery method, that is, a large number of development and configuration operations are required

Images