基于知识约简的无线网络脆弱性评价指标体系构建
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

全军军事学研究生课题(2012JY002-480)


Target system construction of vulnerability evaluation for wireless network based on knowledge reduction
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对无线网络脆弱性评价指标体系中影响因素众多、层次结构复杂且指标间存在相关性的问题,提出了一种基于知识约简算法的脆弱性指标体系构建方法.首先,初步建立无线网络脆弱性评价的指标体系,在此基础上构造脆弱性评价决策表;其次,运用知识约简算法对决策表进行简化,其中非核指标的重要性排序采用特征向量法进行确定,该方法以保证评价结果的准确性为前提,较AHP权重判断法更具客观性;最后,将该方法和AHP权重判断法进行了分析比较,说明了其有效性.

    Abstract:

    Aspects such as multiple influencing factors,complicated hierarchical structure,and relation between indicators perplexed the vulnerability evaluation target system for wireless network.This paper proposes a method to construct target system of vulnerability evaluation based on knowledge reduction.Firstly,a primary target system of vulnerability evaluation for wireless network is established,hence the decision table of vulnerability evaluation is constructed.Secondly,the knowledge reduction is employed to simplify the decision table,and arithmetic of character vector is used to sort the significance of non-core targets.Premised on high accuracy of evaluation result,this proposed method is more objective than AHP weight judgment method.Finally,this knowledge reduction based method is comparatively analyzed with AHP weight judgment method to validate its feasibility.

    参考文献
    相似文献
    引证文献
引用本文

李杰,谢慧,王甲生.基于知识约简的无线网络脆弱性评价指标体系构建[J].南京信息工程大学学报(自然科学版),2014,6(1):58-62
LI Jie, XIE Hui, WANG Jiasheng. Target system construction of vulnerability evaluation for wireless network based on knowledge reduction[J]. Journal of Nanjing University of Information Science & Technology, 2014,6(1):58-62

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2012-10-14
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2014-02-14
  • 出版日期:

地址:江苏省南京市宁六路219号    邮编:210044

联系电话:025-58731025    E-mail:nxdxb@nuist.edu.cn

南京信息工程大学学报 ® 2024 版权所有  技术支持:北京勤云科技发展有限公司