AUTOMATIC IDENTIFICATION OF UBIQUITOUS TERMINAL TYPE ATTACKS BASED ON SECURITY SITUATION MONITORING MODEL
In order to improve the accuracy of automatic identification of ubiquitous terminal type attack,the automatic identification method of ubiquitous terminal type attack based on security situation monitoring model is studied.The initial data sequence was treated with equal time interval.According to the anti-s-shaped swing characteristics of the cumulative sequence,the risk value of the ubiquitous terminal was determined by the grey Verhulst model.The parameters and classification accuracy of support vector machine were regarded as the particle and objective functions of the improved particle swarm optimization respectively.The optimal parameters of support vector machine were determined through the global search process,and the multi-classification recognition model was constructed.The ubiquitous terminal risk value was taken as the input,and the identification model was used to automatically identify the attack types of ubiquitous terminal.The experimental results show that the precision of attack type is 97.81％,and the highest DCP value is 0.006 3％.
Security situationUbiquitous terminalType attackAutomatic recognitionEqual time interval processing
国家科技期刊平台
NSTL
万方数据
维普
