Data privacy protection management system for network security

The modularly designed network security data privacy protection system utilizes semantic graph structures and multimodal feature fusion to solve the problems of insufficient recognition accuracy and rigid response strategies in existing technologies, achieving efficient and flexible data privacy protection in complex scenarios.

WO2026118362A1 Publication Date: 2026-06-11SHANDONG HUAYU UNIV OF TECH
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Patent Information

Application Number
PCT/CN2025/091728
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Filing Date
2025-04-28
Publication Date
2026-06-11

AI Technical Summary

Technical Problem

Existing network security data privacy protection systems suffer from insufficient recognition accuracy, lack of dynamic optimization of response strategies, rigid processing links, and lack of closed-loop feedback tuning when faced with complex language expressions, unstructured information, or semantic ambiguity. This results in insufficient adaptability and flexibility of the system in various data scenarios.

Method used

The network security data privacy protection management system, which adopts a modular and decoupled design, includes modules for data access and preprocessing, sensitivity analysis, representation learning, sensitivity identification, risk assessment, policy decision-making, and audit feedback. Through semantic graph structure, multimodal feature fusion, variational bottleneck mechanism, and game model, it realizes automated optimization and dynamic adjustment of sensitivity identification and response strategies.

Benefits of technology

It improves the accuracy of data sensitivity identification and the flexibility of response strategies, reduces the cost of manual configuration and maintenance, realizes the adaptive optimization of the system and the dynamic generation of strategy combinations, and improves the system's adaptability and processing efficiency in various data scenarios.

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Abstract

The present application relates to the field of network security. Disclosed is a data privacy protection management system for network security. The system comprises: a data access and preprocessing module; a sensitivity analysis module, which is connected to the data access and preprocessing module; a representation learning module, which is connected to the data access and preprocessing module; a sensitivity identification module, which is respectively connected to the sensitivity analysis module and the representation learning module; a risk assessment module, which is connected to the sensitivity identification module; a policy decision-making module, which is connected to the risk assessment module; and an auditing feedback module, which is respectively connected to the policy decision-making module and the sensitivity identification module. By means of a closed-loop architecture involving identification, assessment, decision-making and auditing, full-process automatic control of data sensitivity identification and response policy execution is achieved by using a modular decoupling design, thereby effectively overcoming the problems of a delayed policy response and limited coverage, and improving the overall response accuracy and processing efficiency of the system.
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