摘要
分析了异常入侵检测存在的问题,研究了基于模糊聚类的入侵检测算法.该算法采用C-均值算法,通过训练数据聚类、异常聚类划分和行为判定等3个步骤实现异常入侵检测.试验采用KDD99数据进行了测试,证明该算法是可行和有效的.
This paper analyses the current intrusion detection techniques, discusses a fuzzy clusteringbased intrusion detection algorithm which is C - means, including 3 steps, such as train data clustering, abnormal cluster partition, and behavior judgement. The test adopted KDD99 data proves that this algorithm is feasible and effective.
出处
《军械工程学院学报》
2005年第6期61-63,共3页
Journal of Ordnance Engineering College
关键词
入侵检测
模糊聚类
数据挖掘
C-均值算法
intrusion detection
fuzzy cluster
data mining
C -means algorithm
