• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2005, Vol. 27 ›› Issue (12): 105-107.

• 论文 • Previous Articles     Next Articles

  

  • Online:2005-01-01 Published:2010-06-22

Abstract:

In intrusion detection systems, the feature selection from a massive data stream is the main tactor that intluences the performance of detection syste ms. To improve the performance, a circumstance related feature selection algorithm is proposed in this paper to reduce the cost for dealing with the raw datm Finally the experimental results and the relevant analysis are given.

Key words: (intrusion detection, feature selectiom circumstance related)