A new clustering algorithm and genetic algorithm based on a combination of intrusion detection model.Algorithm to cluster the center of the binary code of each point to their respective cluster centers between the Euclidean distance as similarity measure integrated

and then use genetic algorithm

effectively reduce the path length of the network topology

the genetic algorithm to find the cluster center.Matlab simulation results show that the improved network anomaly detection

and the more traditional model of network intrusion detection system

compared with the invasion of a better recognition rate and detection rate

while increasing the efficiency of the algorithm.