一种基于数据驱动的安全策略智能编排方法
By adopting a data-driven intelligent orchestration method for security policies based on At-LSTM and subgraph extraction algorithms, the problem that static security models cannot adapt to the dynamic development of information systems is solved. This method enables the automated and intelligent generation of security policies, improving the efficiency of security management and maintenance and the accuracy of policy execution.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NO 30 INST OF CHINA ELECTRONIC TECH GRP CORP
- Filing Date
- 2024-01-25
- Publication Date
- 2026-07-17
AI Technical Summary
Existing static information security models cannot meet the dynamic development needs of information systems and cannot effectively build a fast and intelligent security protection system, resulting in limited defense capabilities.
We employ an At-LSTM-based text semantic relation extraction model and subgraph extraction algorithm, combined with dataflow programming concepts, to intelligently orchestrate security policies in a data-driven manner. This includes entity relation mapping, parsing correction, policy orchestration, and policy incentives. We also utilize a security knowledge base and matching algorithms to optimize policy generation.
It enables automated and intelligent generation of security policies, improves the efficiency of security management and operation, enhances the timeliness and accuracy of policy execution, reduces network unavailability caused by policy conflicts, and improves orchestration efficiency and accuracy.
Smart Images
Figure CN117938504B_ABST