摘要
论文提出了一种基于优先级的入侵特征提取方法,在特征提取前,首先计算各个特征的优先级,然后选择优先级符合条件的特征进行提取,并且只处理这些特征所对应的数据包。理论分析和实验结果表明,与传统的特征提取方法相比,论文提出的方法能够节约CPU的处理时间。
To improve the efficiency of IDS, a feature selection approach based on priority for it is proposed, in which the priority of features is used to select part of features and then the part of packets are selected by these features. Theoretical analyses and experimental results show that this approach has better performance than traditional one in CPU processing time.
出处
《信息安全与通信保密》
2007年第2期163-165,共3页
Information Security and Communications Privacy
关键词
入侵检测
优先级
特征提取
intrusion detection
priority
feature selection
