Intrusion detection algorithm based on quantum genetic clustering
基于量子遗传聚类的入侵检测方法*

The presented intrusion detection algorithm based on clustering need to know the cluster number before it works in clustering process. And the algorithm performance is decided by the order of input data. So, this paper proposed a new intrusion algorithm that based on quantum genetic clustering to solve the problems. The basic ideal of the algorithm was to create the initialization clusters with the cluster method, and then used the improved quantum genetic algorithm in the clusters combinatorial optimization.At last,used this method to detect intrusion. The experimental results demonstrate that this method can detect intrusion datas efficiently in the network environment.