A novel intrusion detection method based on improved SVM by combining PCA and PSO |
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| Authors: | Hui Wang Guiling Zhang E Mingjie Na Sun |
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| Institution: | WANG Hui1,ZHANG Guiling1,E Mingjie2,SUN Na1 1.School of Computer Science and Software,Tianjin Polytechnic University,Tianjin 300387,China,2.Department of Energy Technology and Mechanical Engineering,Tianjin Institute of Urban Construction |
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| Abstract: | The paper presents an improved support vector machine (SVM) by combining principal component analysis (PCA) and particle swarm optimization (PSO).Then,the improved SVM is applied to the intrusion detection system (IDS) to improve the detection rate.First,PCA is used to reduce the dimension of feature vectors.Second,we use the PSO algorithm to optimize the punishment factor C and kernel parameters in SVM.The experimental results indicate that the intrusion detection rate (97.752 8%) of improved SVM by combin... |
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| Keywords: | intrusion detection support vector machine principal component analysis particle swarm optimization |
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