Investigation on Security Situation Awareness and Intelligent Evaluation of Data Communication Network Equipment

In today's era of globalization, traditional communication methods are increasingly inefficient and costly, emphasizing the growing importance of data communication. As an emerging internet technology, data communication integrates information exchange with computer networks, providing crucial support for modern industries. However, since its inception, data communication has faced persistent network risks, including malicious attacks, software vulnerabilities, and user errors. This study aims to address these challenges by constructing a comprehensive network security situation awareness model and integrating intelligent analysis systems. The proposed model utilizes advanced techniques such as game theory, machine learning, and threat perception to enhance network risk detection and mitigation. Key findings indicate that combining security awareness platforms with intelligent evaluation systems significantly reduces risks and improves network reliability. This research provides a systematic framework for addressing network vulnerabilities and highlights the importance of proactive strategies to ensure secure and efficient data communication. These insights contribute to building safer, more resilient communication infrastructures for diverse applications.