Distributed data fusion platform based on blockchain
A distributed data and blockchain technology, applied in the blockchain field, can solve the problems of lack of data fusion benefits and privacy protection, and achieve the effect of protecting security and privacy, ensuring security, and eliminating concerns
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Embodiment 1
[0026] A distributed data fusion platform based on blockchain70, please refer to the attached figure 1 , including: several data storage stations 20, respectively connected to multiple data sources 10, receiving the original data submitted by the data sources 10, associating the original data with the data sources 10, encrypting and storing them, and extracting the hash value of the original data 210, associate the data source party 10 with the identification and upload it to the blockchain 70 for storage; the summary server 50 is connected to the data source party 10 and the data demander 60, and the data source party 10 will generate description summaries and example data for the data it owns, and will describe The summary and example data are submitted to the summary server 50 for disclosure, and the data demander 60 checks the description summary disclosed by the summary server 50 to find the data of the required data source 10; the model server 30 is connected to the data ...
Embodiment 2
[0062] A distributed data fusion platform based on blockchain 70, this embodiment further improves the way data storage nodes 21 execute data processing model 31 on the basis of embodiment 1, so as to improve the protection of data privacy . The data distribution node 22 distributes each data row 211 to several data storage nodes 21. When distributing, the data distribution node 22 splits the value of the numeric field in the data row 211 into data that matches the number of data storage nodes 21. Several addends are assigned to a data storage node 21 as the value of the corresponding numerical field. When several data storage nodes 21 execute the data processing model 31, a secure multi-party calculation is established to obtain the data processing model 31. The output volume is 312.
[0063]Furthermore, in this embodiment, when the data distribution node 22 distributes each data row 211 to several data storage nodes 21, the steps include:
[0064] Step B1) The data distrib...
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