不确定聚类算法及其在入侵检测系统中应用

聚类算法是一种无监督分类方法，能够很好地应用于入侵检测、模式识别中。结合入侵数据集的特点，通过定义两个新的隶属程度判断准则参数，提出了一种新的隶属关系不确定的可能性模糊聚类算法，并给出了具体算法实现。该算法实现了对入侵数据集的自主学习和检测过程。给出了在KDDCUP99数据集上的检测结果，实验表明该算法具有较高的检测率及较低的误检率。

Uncertainty clustering algorithm and its application to intrusion detection system

Clustering algorithm is an unsupervised machine learning method, which has important applications in the fields of intrusion detection and pattern recognition. Based on the two new proposed verdict criterions, a new possibility fuzzy clustering algorithm was presented based on the uncertainty membership, to realize self-learning and detection based on intrusion dataset. The experimental results based on the datum of KDDCUP99 demonstrate that the algorithm possesses higher detection rate and lower misuse det...