摘要
针对原始入侵检测系统误报率高的缺点,在原始系统中添加了聚类检测部分,提出了一种基于聚类分析的入侵检测系统结构模型,实验表明该新系统有效降低了误报率,能准确的检测出异常数据。
In view of the faluts of the traditional Intrusion Detcetion System in the rate of False alarm which add cluster detection to the original system,forming an Intrusion Detcetion System Based on Clustering Analysis. Experimental results show that the new system can effectively reduce the rate of false alarm, it can accurately detect anomaly data.
出处
《科技信息》
2011年第35期150-151,共2页
Science & Technology Information
关键词
聚类
攻击
入侵检测
Clustering
Attack
Intrusion detection
