A blockchain transaction address domestic and foreign identification system and method

By conducting in-depth analysis of blockchain transaction data and employing machine learning techniques, and using the XGBoost and CMA-ES algorithms to optimize hyperparameters, the accuracy of user geolocation identification and privacy protection issues in blockchain transactions were resolved, achieving efficient regulatory support.

CN120317876BActive Publication Date: 2026-06-26CHENGDU ZHONGKE ZHISHAN INFORMATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHENGDU ZHONGKE ZHISHAN INFORMATION TECH CO LTD
Filing Date
2025-03-31
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing technologies struggle to efficiently and accurately identify user geolocation in blockchain transactions without infringing on user privacy, resulting in difficulties in regulation, high time costs, data privacy issues, and limited applicability.

Method used

By conducting in-depth analysis of blockchain transaction data, combining data mining and machine learning techniques, and using the XGBoost and CMA-ES algorithms to optimize hyperparameters, a feature set is constructed and cross-validation technology is used to identify the geographical location of user addresses.

Benefits of technology

It achieves high-precision identification of user addresses both domestically and internationally, reduces the false positive rate, improves regulatory efficiency, protects user privacy, and supports anti-money laundering and combating illegal activities.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a blockchain transaction address domestic and foreign identification system and method, a data acquisition module, which is used for acquiring blockchain transaction data in real time, wherein the transaction data comprises transaction hash, timestamp, transaction amount and transaction address of both parties; a data processing module connected with the data acquisition module, which is used for preprocessing the acquired transaction data, including data cleaning, formatting and preliminary screening; a feature engineering module connected with the data processing module, which is used for extracting key features from the preprocessed transaction data and constructing a feature set for machine learning training; high-precision identification: by comprehensively utilizing multi-dimensional features such as transaction time, amount and frequency, the accuracy of address identification is greatly improved, and domestic and foreign user addresses can be accurately identified and distinguished, which has important significance for the public security department to quickly locate the address involved in the case, especially to distinguish domestic and foreign criminal activities.
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