Network Security Situation Prediction Based on Improved Adaptive Grey Verhulst Model

被引：0
|
作者：
胡威 [1 ,2 ]
李建华 [1 ]
陈秀真 [1 ]
蒋兴浩 [1 ]
机构：
[1] Department of Electronic Engineering,Shanghai Jiaotong University
[2] Network Control Center,State Grid Information and Communication Co.Ltd
来源：
Journal of Shanghai Jiaotong University(Science) | 2010年 / 15卷 / 04期
基金：
中国国家自然科学基金;
关键词：
network security situation; situation prediction; grey theory; grey Verhulst model;
D O I：
暂无
中图分类号：
TP393.08 [];
学科分类号：
0839 ; 1402 ;
摘要：
<Abstract>Network security situation is a hot research topic in the field of network security.Whole situation awareness includes the current situation evaluation and the future situation prediction.However,the now-existing research focuses on the current situation evaluation,and seldom discusses the future prediction.Based on the historical research,an improved grey Verhulst model is put forward to predict the future situation.Aiming at the shortages in the prediction based on traditional Verhulst model,the adaptive grey parameters and equaldimensions grey filling methods are proposed to improve the precision.The simulation results prove that the scheme is efficient and applicable.
引用
收藏
页码：408 / 413
页数：6
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