Network intrusion detection method based on PSOGWO-SVM algorithm

The invention discloses a network intrusion detection method based on a PSOGWO-SVM algorithm, and the method comprises the steps: combining a basic GWO algorithm with a PSO algorithm, optimizing the gray wolf individual position updating parameters of GWO, obtaining the PSOGWO algorithm, enabling the PSOGWO algorithm to obtain better optimization capability and convergence speed, and employing the PSOGWO algorithm to optimize the parameters of the SVM, so as to improve the overall performance of the intrusion detection based on the SVM. Through fusion of a PSOGWO algorithm and an SVM, an optimal detection model of an SVM classifier is determined. The result shows that the intrusion detection method based on the PSOGWO-SVM realizes parameter optimization of the SVM, the detection rate, the convergence rate, the model balance and the like are obviously improved, and the method has feasibility and practicability in intrusion detection. 本发明公开了一种基于PSOGWO-SVM算法的网络入侵检测方法，其通过基本的GWO算法结合PSO算法，优化GWO的灰狼个体位置更新参数，得到PSOGWO算