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本论文将聚类分析技术引入到入侵检测系统中,提出了K-means聚类算法的改进方案,将聚类分析算法和关联分析算法结合起来改善入侵检测率,并利用KDD Cup 99数据包对改进算法进行评估,结果表明该算法能提高入侵检测率。
In this dissertation, the clustering analysis technology is introduced into the intrusion detection system. An improved K-means clustering algorithm is proposed. Clustering algorithm and correlation analysis algorithm are combined to improve the intrusion detection rate. KDD Cup 99 packets The improved algorithm is evaluated. The results show that the algorithm can improve the intrusion detection rate.