Research of K-means algorithm based on particle swarm optimization in network intrusion detection
基于粒子群优化的k均值算法在网络入侵检测中的应用

Based on the k-means algorithm, we proposed the PSO-k-means algorithm combining the k-means with PSO. Then KDD cup 99 dataset was applied to both algorithms. The experiment indicates that the PSO-k-means algorithm can avoid the inherent shortcomings of the k-means algorithm, and has higher detection performance with detection rate rising and false alarm rate falling.