Comparative study of network security risk evaluation based on SVM and ANN
Guo Ai-ling · Computer Engineering and Applications Journal · 2008
Support Vector Machine(SVM) and Artificial Neural Networks(ANN) are two branches of artificial intelligence,the principles of SVM and ANN are introduced in detail in this paper.The network security evaluation index system is established.SVM and ANN are applied to network security risk assessment process at the same time.Though the example,it indicates that the class exactness of SVM is higher than ANN under the conditions of limited training samples,acquires better class ability and generalization ability,it has the absolute superiority on training time than ANN.The validity and superiority of SVM on network security risk evaluation is approved.