This paper proposed the improvement k-means algorithm

join filter optimization function through the cluster set the number of candidates clusters

deleted the optimal cluster the data in the data set

the optimal cluster

improve production later network database intrusion detection

reduce the efficiency of the miss rate.The experiment results show that the method can optimize the clustering to create the number of clusters

for the number of network data quantity intrusion detection provides convenience

improve the detection accuracy

and to reduce the miss rate.