Grid application layer instruction level detection method for converged control service logic
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- STATE GRID FUJIAN ELECTRIC POWER CO LTD
- Filing Date
- 2023-09-15
- Publication Date
- 2026-06-23
AI Technical Summary
Existing technologies struggle to effectively identify command-level attacks on smart grid terminals and cannot meet high real-time requirements, especially in complex industrial environments where data distribution is difficult to model, resulting in insufficient attack detection.
A rule-based matching method is used to detect malformed and attack packets. Combined with anomaly detection technology based on clustering learning, the K-Means clustering algorithm is used to classify power grid business command behavior, construct a business behavior model, and realize the anomaly identification of business command frequency and feature code.
It enables real-time identification and classification of command-level attacks on smart power grid terminals, improving the security and real-time detection capabilities of the power grid system, and effectively identifying abnormal data in complex environments.
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