Data matching method, apparatus, system, device and medium
HK40082345BActive Publication Date: 2026-07-17CHINA UNIONPAY
Patent Information
- Authority / Receiving Office
- HK · HK
- Patent Type
- Patents
- Current Assignee / Owner
- CHINA UNIONPAY
- Filing Date
- 2023-04-21
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing secure intersection algorithms can only match when both sides' data are completely identical, which limits the use cases and affects the business scope of data matching.
Method used
By employing a vector transformation model and unintentional transmission OT protocol, intermediate vectors and intermediate distance results are generated. The matching of data is determined by the target distance and distance threshold, thus achieving fuzzy matching.
Benefits of technology
Matching is achieved even when the data is not completely identical, which broadens the application scenarios and ensures the security of the matching process and the data through the OT protocol.
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Smart Images
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Abstract
The application provides a data matching method, device, system, equipment and medium. The application can obtain a first vector corresponding to first data and a second vector corresponding to second data respectively, and obtain a binary vector corresponding to the first vector. A first intermediate vector generated based on the binary vector corresponding to the first vector, the second vector and a first random vector can be obtained through an OT protocol, and a first distance intermediate result can be obtained based on the first intermediate vector and a first set algorithm. A second distance intermediate result can be obtained based on the second vector, the first random vector and a second set algorithm. A target distance of the first vector and the second vector is determined based on the first vector, the first distance intermediate result and the second distance intermediate result. Whether the first data and the second data match is determined based on the target distance and a preset first distance threshold. The fuzzy matching of the first data and the second data can be realized, the use scenario is widened, and the safety of the matching process is ensured.
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