中文
Home > Scientific Research > Paper Publications

基于G-K算法的网络安全态势预测模型

Hits:

  • Key Words:G-K算法;;网络安全;;态势预测;;屋面优化;;灰关联熵分析;;关键因素分析

  • Abstract:针对普通Kalman算法在网络安全态势预测中对初始数据的依赖性较高,且预测精度不够高的问题,本文提出了一种基于G-K算法的网络安全态势预测模型。首先利用灰关联熵分析方法选出影响网络安全态势的关键因素,然后结合关键因素建立网络安全态势的多元关系模型,最后选用KDD-cup99的部分数据作为实验数据源对改进算法进行实例仿真。结果表明,G-K算法能够快速跟踪网络安全态势的变化趋势,预测精度优于普通Kalman算法。

  • Volume:v.33;No.231

  • Issue:11

  • Translation or Not:no

  •

Laoshan Campus-99 Songling Road, Qingdao City, Shandong Province
Sifang Campus-No.53 Zhengzhou Road, Qingdao City, Shandong Province
Sino-German International Cooperation Zone (Sino-German Campus)-No. 3698 Tuanjie Road, West Coast New District, Qingdao City, Shandong Province
Gaomi Campus-No. 1 Xingtan West Street, Gaomi City, Shandong Province
Jinan Campus-No. 80 Wenhua East Road, Jinan City, Shandong Province ©2015 Qingdao University of Science and Technology
Administrator email: master@qust.e		 Click:
  MOBILE Version

The Last Update Time:..