Research on Intelligent Early-Warning Method of Power Monitoring Network Information Security Based on Mesh Correlation Analysis

With the rapid development of smart grid and the advancement of digital transformation, complex attack methods against infrastructure continue to emerge, power monitoring networks are facing increasingly severe information security challenges, which pose a major threat to the stable operation of power grids. This paper presents an intelligent early-warning method of power monitoring network information security based on mesh correlation analysis, and verifies the application effect of this method through comparative experiments. The experimental results show that compared with the traditional rule-based early warning system and statistics-based early warning system, the detection accuracy of the proposed intelligent early warning method is significantly improved, and the response time is reduced to 1. <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$5\mathrm{s}$</tex>. At the same time, the proposed intelligent early warning method still maintains a high degree of robustness under high load conditions (network traffic increases to 150% of the original level), and the accuracy rate decreases by only 1.2%. It has a certain application prospect and practical deployment value.