计算机应用 ›› 2014, Vol. 34 ›› Issue (9): 2622-2626.DOI: 10.11772/j.issn.1001-9081.2014.09.2622

• 计算机安全 • 上一篇    下一篇

基于模糊层次法的改进型网络安全态势评估方法

李方伟,杨绍成,朱江   

  1. 移动通信技术重庆市重点实验室(重庆邮电大学),重庆 400065
  • 收稿日期:2014-04-11 修回日期:2014-06-10 出版日期:2014-09-01 发布日期:2014-09-30
  • 通讯作者: 杨绍成
  • 作者简介: 
    李方伟(1960-),男,重庆南岸人,教授,博士生导师,主要研究方向:态势感知;
    杨绍成(1990-),男,重庆璧山人,硕士研究生,主要研究方向:态势感知;
    朱江(1977-),男,湖北荆州人,副教授,博士,主要研究方向:认知无线电。
  • 基金资助:

    国家自然科学基金资助项目;教育部科学研究重点项目;重庆市教委科学技术研究项目

Improved network security situational assessment method based on FAHP

LI Fangwei,YANG Shaocheng,ZHU Jiang   

  1. Chongqing Key Laboratory of Mobile Communications Technology (Chongqing University of Posts and Telecommunications), Chongqing 400065, China
  • Received:2014-04-11 Revised:2014-06-10 Online:2014-09-01 Published:2014-09-30
  • Contact: YANG Shaocheng

摘要:

为最大限度降低网络安全问题带来的损失,提出一种基于模糊层次分析法(FAHP)的改进型网络安全态势评估模型。鉴于未来的大规模网络环境,首先建立一套符合实际环境的,由指标层、准则层、决策层三层组成的态势指标体系;针对态势评估中的数据分布不确定性、模糊性对评估结果的影响,利用模糊C-均值(FCM)聚类和最佳聚类准则进行数据预处理,得到最佳聚类数和聚类中心;最终建立多因素二级评估模型得到态势评估向量。仿真结果表明,与目前的基于模糊层次法的态势评估方法相比,更好地考虑到某些权重小的因素,因而标准偏差更小,评估结果更加客观、准确。

Abstract:

To minimize damage from network security problem, an improved network security situation assessment model based on Fuzzy Analytic Hierarchy Process (FAHP) was proposed. First, a set of index system in conformity with actual environment which consists of index layer, criterion layer and decision layer was established in consideration of the large-scale network environment in the future. Aiming at the influence on evaluation by data distribution uncertainty and fuzziness in situation assessment, the proposed model used Fuzzy C-Means (FCM) clustering algorithm and the best clustering criterion for data preprocessing to get the optimal cluster number and cluster center. Finally, multi-factor secondary assessment model was established for situation assessment vector. The simulation results show that, compared with the present situation assessment method based on FAHP, the improved method takes the factors which have small weights into consideration better, so the standard deviation is smaller and evaluation results are more objective and accurate.

中图分类号: