Abstract: Like the classic FCM clustering algorithm and its derived algorithm, KFCM clustering algorithm is sensitive to the initial center and noise data and easy to fall into local optimal value. To solve these problems, this paper proposes a modified fuzzy clustering algorithm based on multipopulations cooperative quantum particle swarm hybrid simulated annealing algorithm(MCQPSOSA). In the improved KFCM algorithm, MCQPSOSA algorithm is introduced to improve search efficiency and global search capabilities. The improved algorithm is used to build intrusion detection system. Our experimental results show the proposed algorithm has more efficient performance which solve poor stability and low detection accuracy of the traditional clustering algorithms in intrusion detection.

Key words:  KFCM, multipopulations cooperative quantum particle swarm, simulated annealing, intrusion detection