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
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
相关论文
共 50 条
  • [41] ISSA-ELM: A Network Security Situation Prediction Model
    Sun, Hongzhe
    Wang, Jian
    Chen, Chen
    Li, Zhi
    Li, Jinjin
    [J]. ELECTRONICS, 2023, 12 (01)
  • [42] Research on the Concentration Prediction of Nitrogen in Red Tide Based on an Optimal Grey Verhulst Model
    Hu, Xiaomei
    Wang, Yubin
    Yu, Yue
    Wang, Dong
    Tian, Yuan
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2016, 2016
  • [43] The Research of the Network Security Situation Prediction mechanism Based on the complex network
    Sun, Shouxin
    [J]. 2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (CICN), 2015, : 1183 - 1187
  • [44] Incremental Wavelet Neural Network based Prediction of Network Security Situation
    Liu, Xiaojian
    [J]. PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTING TECHNOLOGY, 2016, 60 : 1199 - 1203
  • [45] Grey Verhulst Neural Network Model of Development Cost for Torpedo
    Liang, Qing-wei
    Zhao, Min-quan
    Yang, Pu
    [J]. COMPUTER SCIENCE FOR ENVIRONMENTAL ENGINEERING AND ECOINFORMATICS, PT 2, 2011, 159 : 30 - 35
  • [46] RELIABILITY GROWTH PREDICTION BASED ON AN IMPROVED GREY PREDICTION MODEL
    Wang, Yuhong
    Dang, Yaoguo
    Liu, Sifeng
    [J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2010, 3 (03) : 266 - 273
  • [47] Reliability growth prediction based on an improved grey prediction model
    Wang Y.
    Dang Y.
    Liu S.
    [J]. International Journal of Computational Intelligence Systems, 2010, 3 (3) : 266 - 273
  • [48] Adaptive cruise control method based on improved grey prediction
    Zhou, Chunguo
    Qiao, Ning
    Mao, Jin
    Zeng, Zhicheng
    Zhou, Yongjun
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2023, 44 (01) : 543 - 553
  • [49] Application of optimized grey discrete Verhulst–BP neural network model in settlement prediction of foundation pit
    Chuang Zhang
    Jian-zhong Li
    Yong HE
    [J]. Environmental Earth Sciences, 2019, 78
  • [50] PREDICTION OF THE MECHANICAL BEHAVIOR OF A MINICOMPOSITE BASED ON GREY VERHULST MODELS
    Wang, Yiqiang
    Cheng, Laifei
    Zhang, Litong
    [J]. CERAMICS-SILIKATY, 2017, 61 (04) : 372 - 377