网络安全保密自动化智能处理方法、装置、设备及介质
By using deep learning models to automate traffic classification and encryption/decryption for network security devices, the problem of low configuration efficiency of traditional network security devices is solved, and efficient automated security policy adaptation and tunnel management are achieved.
CN120474774BActive Publication Date: 2026-07-17NO 30 INST OF CHINA ELECTRONIC TECH GRP CORP
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
- 2025-05-12
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Traditional network security devices rely on manual configuration of security policies, which is inefficient, untimely, and unable to adapt to the ever-changing network environment.
Method used
Employing a deep learning-based traffic classification model, it automatically performs anomaly detection and defense, automatically generates IPSec security policy entries, and achieves automatic traffic classification and encryption/decryption tunnel establishment.
Benefits of technology
It automates the processing of network security devices, reduces reliance on administrator configuration, improves processing efficiency and timeliness, and adapts to dynamic changes in the network environment.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN120474774B_ABST
Abstract
本发明涉及网络安全技术领域，提供一种网络安全保密自动化智能处理方法、装置、设备及介质，该方法通过构建基于深度学习的流量分类模型实现流量自动分类、自动执行异常检测与防御、自动生成IPSec安全策略表项，根据流量分类结果与自动探测到的每个可达对端自动建立每类流量的IPSec加解密隧道，不再依赖管理员人工配置的安全策略，实现了“检测‑防御‑加密”自动执行。
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