The Safety Assessment of Power Information System with Particle Swarm Optimization Based Support Vector Machine

摘要

The safety of power information system is significant to the safety and stability of power enterprises operation. Making comprehensive assessment on the safety of power information system is the prerequisite work of finding security risks in power information system in time and taking measures to avoid safety accidents. This paper uses the method of Support Vector Machine (SVM) optimized by Particle Swarm Optimization (PSO) for comprehensive assessment of the safety of power information system, and result of the example implementation proves result from PSO based SVM assessment on the safety of power information system can get a more accurate assessment result than using SVM alone.