The Research of the Network Security Situation Prediction mechanism Based on the complex network

被引:3
作者
Sun, Shouxin [1 ]
机构
[1] Liaoning Univ, Coll Informat, Shenyang, Liaoning, Peoples R China
来源
2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (CICN) | 2015年
关键词
Situation Predictionmechanism; Markov method; Network Security; Security Status; dynamics features;
D O I
10.1109/CICN.2015.229
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Most of the existing network security situation prediction mechanisms are only directed by the prediction of the situation value, but these methods do not reveal the problem of the dynamics features of the network situational factors. For these issues, this paper proposes the network security situation prediction mechanism based on the complex network. By this mechanism, we can easily and intuitively trace the dynamics features in the value fluctuations of the network security situation prediction. After that, this paper proposes Markov prediction method based on the complex network, so that we can achieve an effective prediction of the Security Status. Through simulation analysis, the network security situation prediction mechanism based on the complex network can reflect the essence behavior of the system to some extent. At the same time this mechanism can precisely predict the Security Status in the complex network.
引用
收藏
页码:1183 / 1187
页数:5
相关论文
共 13 条
[1]  
Chen Jiaying, 2011, PEAK PERIOD CHINA SO, P184
[2]  
Chen Weidong, 2010, CHINESE J PHYS, V59, P4514
[3]  
Chen Xiuna, 2011, APPL RES COMPUTERS, V28, P4310
[4]  
Chen Xiuna, 2011, APPL RES COMPUTERS, V28, P4303
[5]  
DONG Jian-feng, 2010, P INT C CHALL ENV SC, P401
[6]  
Fan P. Y., 2005, STOCHASTIC PROCESS T
[7]  
Kai Li, 2011, APPL RES COMPUTERS, V28, P4310
[8]  
LaiJiBao, 2009, RES SERVERAL KEY TEC
[9]  
Lei Zhou, 2008, CHINESE J PHYS, V57, P7380
[10]  
LiKai, 2011, APPL RES COMPUTERS, V28, P4303