一种基于ATT和CK的新型电力系统构建攻击图的方法及系统
By establishing a conditional random field model based on ATT and CK in the power system, the problems of threat intelligence utilization and attack behavior pattern description are solved, and the accurate identification and effective protection against potential threats to the power system are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA ELECTRIC POWER RESEARCH INSTITUTE CO LTD
- Filing Date
- 2023-10-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to effectively utilize threat intelligence and ATT and CK knowledge bases to generate accurate power system attack maps, and they also struggle to describe attack behavior patterns and formalize attack paths, making it difficult to effectively address complex power system network threats.
By collecting power system security data, a conditional random field model is established. The observed events are mapped to ATT and CK techniques or tactics using characteristic functions. The model training is parallelized, the optimal attack tactic sequence is solved, and the attack graph is constructed.
It has improved our understanding of and ability to protect against potential threats to new power systems, provided effective security protection and response strategies, and enhanced our ability to warn of and respond to attacks.
Smart Images
Figure CN117834169B_ABST