Research on the Detection of Network Intrusion Prevention With Svm Based Optimization Algorithm

Supp o rt vector machine ( SVM )  has a good application in intrusion detection, but its performance needs to be further improved. This study  mainly  analyzed  the optimization algorithm of SVM . F irst ly,  the principle of SVM  was introduced , then SVM was improved using w hale o ptimization a lgorithm  (WOA) , the WOA was improved , the intrusion detection method based on IW OA -SVM  was analyzed ,  and experiments were  carried out on KDD CUP99  to verify the effectiveness of the algorithm . The results show ed  that  the  IWAO-SVM algorithm was more accurate in attack detection ; compared with SVM, PSO-SVM and ACO-SVM  algorithms , the performance  of the IWAO-SVM algorithm wa s better, the detection rate was  99.89%, the precision rat io wa s 99.92%, the accuracy rate wa s 99.86%, and the detection time  wa s 192 s,  showing that it had  high precision  in intrusion detection. The experimental results verify  the reliability of  the IWAO-SVM algorithm , and it  can be  promoted  and applied in the detection of network intrusion prevention.