Power industry control threat response method based on industry protocol analysis and multi-source fusion
By collecting and synchronizing multi-source heterogeneous data in the power industrial control system, constructing a cross-layer consistent association structure, and analyzing and dynamically updating the model in real time, the problem of insufficient adaptability to new attacks and insufficient multi-source data fusion in existing technologies is solved. This achieves efficient threat identification and location, and improves the security and response efficiency of the power industrial control system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GUANGZHOU ELECTRIC POWER COMM NETWORK LTD
- Filing Date
- 2026-04-09
- Publication Date
- 2026-07-17
AI Technical Summary
The existing security protection system of power industrial control system has limited adaptability to new or cross-protocol attack methods, and the integration degree of multi-source data fusion and collaborative analysis is low, resulting in low accuracy in identifying complex threats and potential attack chains. In addition, it is prone to performance bottlenecks or high false alarm rates in large-scale power industrial control scenarios.
By collecting multi-source heterogeneous data from the network layer, host layer, and physical layer, performing time synchronization and preprocessing, constructing a cross-layer consistent association structure, analyzing data consistency in real time, and combining distributed collaborative analysis, dynamically updating the normal behavior model, and identifying and locating threat propagation paths.
It enables accurate identification of complex threats, improves the accuracy and interpretability of threat location, reduces network bandwidth consumption and the computing pressure on the central platform, and enhances the system's deployment flexibility and response efficiency in large-scale power environments.
Smart Images
Figure CN122420409A_ABST