一种基于BabelNet语义网的隐私信息泄露度量方法及系统
By using a privacy information leakage measurement method based on BabelNet semantic web, the problem of lack of unified measurement standards in existing technologies is solved, accurate measurement is achieved in multilingual environments, and the development of privacy protection technology is promoted.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING UNIV OF TECH
- Filing Date
- 2023-04-10
- Publication Date
- 2026-07-17
AI Technical Summary
The lack of a unified standard for measuring privacy information leakage in existing technologies makes it difficult to accurately measure privacy information leakage, which affects the development and application of privacy protection technologies.
Based on the BabelNet semantic network, this method extracts privacy information and maps it to concept nodes, formulates privacy leakage propagation rules, calculates the contribution value and weight of the path set, and uses a graph depth-first traversal algorithm and contribution value correction method to achieve accurate measurement of target privacy information.
It offers multilingual universality and high scenario adaptability, enabling accurate measurement of privacy information leakage in multiple language environments and promoting the development and improvement of privacy protection technologies.
Smart Images
Figure CN116383880B_ABST