Industrial network security traceability analysis method based on security agent
By filtering and screening real-time access data from industrial networks, abnormal access characteristic values are generated and imported into a simulated security agent. Combined with a large security agent model for judgment, the problem of inaccurate security detection in existing technologies is solved, and efficient, accurate traceability and proactive defense of industrial networks are achieved.
Patent Information
- Application Number
- CN202511624518.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-07
- Publication Date
- 2025-12-12
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing technologies that analyze access anomalies solely by the number of times an IP address is accessed result in inaccurate security detection of network access and an inability to effectively identify complex attack behaviors.
Real-time access data from the industrial network is collected to generate real-time access logs. The real-time access logs are filtered and screened, and the correlation with each storage access log is calculated. The request rate and the number of concurrent connections are obtained, and abnormal access feature values are generated. Abnormal access data packets are imported into a simulated security agent. An isolation characterization value is generated through the security agent's large model to determine whether the isolation is successful. Based on the behavior and correlation, the access risk level and handling method are determined.
It enables accurate source tracing in the early stages of anomalies, and quickly cuts off attack paths through the proactive defense and highly realistic interaction of simulated security agents, thereby improving the accuracy and defense efficiency of industrial network security source tracing analysis and solving the problems of fragmented log data and delayed analysis in traditional systems.