摘要
k均值聚类算法在入侵检测中已经得到了广泛的研究。该文在k均值算法基础上,提出了改进的k均值算法。将k均值算法和改进的k均值算法分别应用于入侵检测。试验结果表明,改进后的k均值算法能够避免k均值算法固有的缺点,并且有比较高的检测性能。
k-means as clustering algorithm has been widely used in the intrusion detection. This paper is based on the k-means algorithm,we bring forward the improved k-means algorithm. The both algorithms were tested in the intrusion detection. The experiment indicates the improved algorithm can avoid the inherent shortcomings which the k-means algorithm has,and has the quite high detection performance.
出处
《计算机安全》
2008年第5期24-26,共3页
Network & Computer Security
关键词
K均值
聚类算法
入侵检测
k-means
clustering algorithm
intrusion detection
