In order to improve the protection system and predict the malicious attack accurately,an enterprise information net-work security management system is designed.The system adopts the active security defense mode,selects the random forest algorithm to evaluate the network security situation awareness objectively,and speeds up the process of generating random for-est from decision tree.The particle swarm optimization(PSO)algorithm is integrated into the support vector machine algo-rithm to make the security management system run stably.The experimental results show that the random forest algorithm can make the model prediction more accurate than other algorithms,and the accuracy of the improved PSO algorithm to detect net-work attacks is about 99％.
维普
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