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《Journal of North China Institute of Science and Technology》 2009-01
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Research on intrusion detection based on Immune algorithm and support vector machine

YU Yongxia1,YANG yang1,YU Shengchen2(1. College of Computer Science,Beijing University of Technology,Beijing 100022;2. North China Institute of Science and Technology,Yanjiao Beijing-East 101601)  
This paper studies and analyses the network data,and then presents a method of intrusion detection based on immune algorithm and support vector machine(SVM).In this method,immune algorithm is used to preprocess the network data,SVM is adopted to classify the optimization data.Experimental results show that the method is feasible and efficient.
【CateGory Index】: TP393.08
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