Optimization of Petrochemical Port Safety Monitoring Network Layout Based on Particle Swarm Optimization Algorithm

In recent years, with the development of enterprise networks, most network managers of enterprise networks can handle the daily management, performance management and reliability management of networks well, but their work experience and knowledge in the field of network security management are still relatively lacking. Here, based on the assessment of risks, this article provides theoretical guidance for network security by analyzing security requirements. This can help the petrochemical port area overcome the challenges of network security and achieve maximum profits. This paper uses the algorithm based on particle swarm optimization (PSO) to optimize the safety monitoring network layout of petrochemical port area. This paper first gives a detailed overview of the principles, steps and applications of particle swarm optimization algorithm, as well as the concepts related to network security detection. Then, through experimental analysis and simulation research, it is concluded that PSO algorithm support vector machine can remove aggressive data packets with an accuracy of more than 80%. Finally, the progressiveness of the technology is verified.