Method for achieving white list based on intelligent contract based on deep learning

Abstract

The invention discloses a method for achieving a white list based on a smart contract based on deep learning, which comprises an evidence storage service system, protected data, a log auditing systemand a log auditing alliance chain scheme; the log auditing system comprises a data collection stage, a data bearing and processing stage and a data distribution stage; the output end of the data collection stage is connected with the input end of the data bearing and processing stage, the output end of the data bearing and processing stage is connected with the input end of the data distribution stage;according to the invention, a blockchain technology and a trusted computing technology are innovatively combined and applied to a financial information systemto ensure the continuity and the security of the user service; In the whole transmission and circulation process of the financial key data, internal and external malicious attacks are effectively resisted, the data cannot be tampered, the reliability and the safety of the financial key data are improved, the field supervision cost and the log tampering possibility are reduced, and the auditing efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of smart contracts, in particular to a method for realizing a smart contract-based whitelist based on deep learning. Background technique [0002] The white list (White List) is the user who can be set through, corresponding to the black list. [0003] If a white list is set up, users (or IP addresses, IP packets, emails, etc.) in the white list will pass through first, and will not be rejected as spam, and the security and speed are greatly improved. [0004] The securities industry is a specialized industry serving securities investment activities. Different countries define the scope of the securities industry slightly differently. According to the "Industry Classification Standard" of the United States, the securities industry consists of securities brokerage companies, stock exchanges and related commodity brokerage groups. The securities industry is a small industry sector in all countries in the wo...

AI Technical Summary

Problems solved by technology

[0009] 1. Important log audits require on-site inspections by regulatory authorities, and the regulatory costs are relatively high and the efficiency is low;

[0010] 2. It is difficult to guarantee the accuracy of logs provided afterwards, and there is a risk of tampering and a time window;

[0011] 3. There is no unified industry-wide log query and analysis, and there may be omissions in the log audit;

[0012] 4. In order to achieve accurate log acquisition and industry-wide retrieval, real-time logs are uploaded to the supervision server. When using traditional technical means, the requirements for data storage space are relatively high;

[0013] 5. In order to achieve accurate log acquisition and industry-wide retrieval, real-time logs are uploaded to the supervision server. When using traditional technical means, the requirements for real-time bandwidth are relatively high

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