A Hybrid Clustering Algorithm for Network Intrusion Detection
Lizhong Xiao, Zhiqing Shao, Xi-Yuan Qian · Jisuanji gongcheng · 2007
【Abstract】With the deficiency of global search ability for K-means clustering algorithm, K-means algorithm based on particle swarm optimization (PSO-KM) is proposed. As an evolutionary computation technique based on swarm intelligence particle swarm optimization (PSO) algorithm has high global search ability, the analysis and experiment show PSO-KM could avoid local optima and has relatively good global convergence. Experiment over network connection that records from KDD CUP 1999 data set is implemented to evaluate the proposed method. The results clearly show the outstanding performance of the proposed method. 【Key words】Particle swarm optimization (PSO); K-means algorithm; Global optimization; Intrusion detection