电信科学 ›› 2016, Vol. 32 ›› Issue (4): 192-196.doi: 10.11959/j.issn.1000-0801.2016115

• 电力信息化专栏 • 上一篇    

基于知识库的系统安全评估方法

邢宇恒   

  1. 国家电网公司信息通信分公司,北京 100761
  • 出版日期:2016-04-20 发布日期:2016-04-28

System security assessment based on knowledge base

Yuheng XING   

  1. State Grid Information & Telecommunication Branch,Beijing 100761,China
  • Online:2016-04-20 Published:2016-04-28

摘要:

在系统非正常状态和正常状态这两种运行状况下,使用nmon 等系统监测工具采集了代表系统运行状态的指标数据,对获取的指标数据进行了向量化操作,构造了可以反映系统运行状态的多维行为特征。采用类内、类间评价距离准则对指标数据进行了有效特征提取,构建了能够反映系统运行状态的行为特征知识库。然后利用行为特征知识库的数据构造了决策树,以判断系统所处状态是否安全。

关键词: 行为特征知识库, 类内、类间距离评价准则, 决策树

Abstract:

Under the two kinds of system operation conditions,abnormal state and normal state,indicated data on behalf of the system running status was collected by system monitoring tools such as nmon,and the obtained index data was quantitatively operated. The features of multidimensional behavior was constructed which could reflect the running state of the system. The index data has been carried on by effective feature extraction by means of the between-class and within-class distance measurement criterion,and knowledge base of behavior features was constructed which reflects the system running state. The decision tree was constructed to judge whether the system of state was secure through data features of behavior knowledge base.

Key words: knowledge base of behavior feature, between-class and within-class distance measurement criterion, decision tree

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