In order to improve network intrusion detection rate, a cooperative quantum PSO and LS-SVM network intrusion detection model (CQPSO-LSSVM) was proposed in this paper. Network feature subset is encoded into quantum particle positions, intrusion detection accuracy is used as the evaluation criteria of a subset feature merits, a synergistic quantum particle swarm algorithm are used to find the optimal feature subset, LS-SVM is used to establish a network intrusion detection model, and KDD CUP 99 dataset is used to simulation test. The results show that, compared with other models, the proposed algorithm has improved detection efficiency and the detection rate of the network intrusion.
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