Financial data real-time sharing system based on block chain
A financial data and sharing system technology, applied in the blockchain field, can solve the problems that it is difficult to bear the data call requirements of big data applications, increase the risk of privacy leakage, and financial institutions are too late for data desensitization processing, etc., to achieve real-time sharing, data Real-time performance and system security are good, and the effect of data real-time performance and system security balance
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Embodiment 1
[0025] A blockchain-based financial data real-time sharing system, please refer to the attached figure 1 , including: data registration node 20, assigning user 70 identification to registered user 70 and financial institution 30, assigning data identification 614 to data row 31 submitted by financial institution 30, financial institution 30 sending field 312 of data row 31 to the data Registration node 20, data registration node 20 specifies the foreign primary key field 313. In this embodiment, the financial institution 30 provides financial data as a data source. Financial institutions 30 mainly include banks, financial regulatory authorities, fund dealers, securities dealers, insurance companies, trust companies, guarantee institutions, factoring banks, and financial companies, etc. These institutions or enterprises have data sharing needs. Users 70 and financial institutions 30, as data demanders, use financial data according to the method provided by this system by payin...
Embodiment 2
[0063] A blockchain-based real-time financial data sharing system, this embodiment proposes a new technical solution for the copy making method based on the first embodiment. When the resident node 40 splits the data row 31 into several sub-data, please refer to the attached Figure 7 , also perform the following steps: step B01) create a new normalized field 312 for each numeric field 312 in the copy; step B02) use a normalization operator to calculate the normalized value of each numeric field 312; Step B03) Separate the real value and the normalized value of the numerical field 312 into several addends 321; Step B04) Assign the several addends 321 to several copy storages; Step B05) The resident node 40 reserves One copy, and the other copies are sent to several secondary nodes 50 for storage; Step B06) The resident node 40 saves the normalization operator of the numeric field 312.
[0064] Normalization can effectively improve the convergence efficiency of neural network ...
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