Construction of Computer Network Security Monitoring Platform Based on Intelligent Sensor Technology

ABSTRACT As computer networks become ubiquitous, ensuring their security has become a critical concern. Existing network security monitoring systems still face challenges, including network intrusions and data loss. Therefore, the security of some confidential information and files has decreased and a new type of computer network security monitoring platform inevitably emerges. This paper constructs the computer network security monitoring platform from the aspects of network architecture design, intelligent sensor selection and deployment, monitoring server establishment, and system monitoring maintenance, analyzes the fitness function of the computer network security monitoring platform combined with particle swarm optimization algorithm, and evaluates the resource utilization, data storage capacity, and other performance of the platform in the experiment. In the experiment, it was found that the resource utilization and data storage capacity of the computer network security monitoring platform under intelligent sensors have significantly improved. Results demonstrate significant improvements with the introduction of intelligent sensors. Specifically, resource utilization increased by 12% and data storage capacity improved by 11%, highlighting the effectiveness of intelligent sensors in enhancing platform performance. Additionally, tests on the platform's processing capabilities revealed a 62% reduction in response time compared to traditional systems, with response times ranging from 0.23 to 0.50 s. Intelligent sensor technology is of great significance in improving the reliability and fault tolerance of computer network security monitoring platforms.