Design and Implementation of Real-time Computer Network Security Monitoring System

In order to enhance the real-time monitoring capability of network security, a multi-layer architecture based real-time monitoring system was constructed, and key technologies for data collection, abnormal behavior detection, threat warning, and visual display were studied. The system adopts a high-performance data capture framework combined with deep learning models to achieve accurate analysis of network traffic and dynamic threat assessment. The test results show that the system performs excellently in data processing efficiency, threat recognition accuracy, and real-time performance, and can meet the security requirements in complex network environments, providing practical reference for the development of network security technology.