一种基于攻击链状态机与智能资源池的网络安全实践教学系统及方法
By constructing an attack chain state machine and an intelligent resource pool, the network security practice teaching system solves the problems of container startup delay, high concurrency pressure, security isolation, and learning analysis in network security teaching platforms. It realizes a fast, secure, and intelligent teaching environment and prompting mechanism, improving user experience and teaching effectiveness.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SOUTHWEST PETROLEUM UNIV
- Filing Date
- 2026-05-21
- Publication Date
- 2026-07-17
AI Technical Summary
Existing cybersecurity teaching platforms suffer from issues such as high container startup latency, lack of adaptive learning guidance, lack of deep security isolation between multi-user containers, and limited dimensions of teaching effectiveness data, which affect the smoothness of teaching and user experience.
A cybersecurity practical teaching system based on attack chain state machine and intelligent resource pool is constructed. Through initial hot standby container resource pool, dynamic minimum water level value calculation, asynchronous preheating task, bypass image acquisition and multi-dimensional learning analysis, it realizes second-level target range environment configuration, adaptive teaching prompts and multi-layer security isolation.
Significantly shorten container readiness time, improve teaching fluency, provide precise teaching prompts, achieve strong security isolation and multi-dimensional learning analysis, and improve teaching quality and user experience.
Smart Images
Figure CN122226523B_ABST