基于模糊C均值的数据流入侵检测算法

Intrusion detection algorithm of data stream based on fuzzy C-means clustering

针对数据在性态和类属方面存在不确定性的特点,提出一种基于模糊C均值聚类的数据流入侵检测算法,该算法首先利用增量聚类得到网络数据的概要信息和类数,然后利用模糊C均值聚类算法对获取的数据特征进行聚类。实验结果表明该算法可以有效检测数据流入侵。

A two-phase intrusion detection algorithm based on fuzzy C-means clustering algorithm is studied. Firstly, the statistical information in data stream and the the number of clusters are gained by the incremental clustering. Secondly, the fuzzy C-means clustering algorithm is directly applied to the fuzzy clustering feature. At last, experiment is performed on the presented algorithm, and the experimental result shows that the presented algorithm can detect the intrusion behaviors effectively.