The Clusting Research for Net Attack Based on Fuzzy Clustering and GRNN
Chao Luo · Journal of Jiangxi Normal University · 2012
The methods of fuzzy clustering and GRNN clustering,which this article used,to divide net attack behavior into five categories.First,use fuzzy c-mean clustering arithmetic divide attack data into five categories;then,from the result of the clustering,these samples,which closest to the every clustering center,is going to data training as GRNN clustering train-ing simples,the output result of training.is the attack category of this data belonged to.This method has higher classification accuracy in how to divide net attack methods into,and net attack instrusion prevention with more reliable data support.