Uncertainty clustering algorithm and its application to intrusion detection system
Yongzhong Li · Journal of Computer Applications · 2008
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 detection rate.