Assessment of network security situation based on grey relational analysis and support vector machine
Wang Cai-yin · 2013
In order to improve the assessment accuracy of network security situation,this paper put forward a network security situation assessment model based on grey relational analysis and support vector machine.It selected evaluation indexes accor-ding to the network security situation assessment rule accurately,and used grey relation analysis to determine the index weight.Then it input the data to a support vector machine to train,which used the improved particle swarm optimization algorithm to optimize the parameters to establish the network security situation assessment model.Finally it carried out the simulation experi-ment by KDD Cup99 data.Simulation results show that the proposed model can assess network security situation accurately and objectively,and the assessment results can provide valuable advice for network administrator.