Design of IDS Based on Based on Gray Relational Analysis and Optimization
LV Hong-wei · 2013
According to the existing problems in the theory of traditional SVM: the high dimensions of feature selection and the importance of characteristics in affecting the classification results are not considered.A new feature-weighted support vector machine algorithm is proposed,based on gray relational analysis and optimization.First,using the gray relational analysis algorithms to filter out the main ingredients,then using symmetrical uncertainty method to calculate the weights of the various characteristics of the classification task.In the full experiment on the basis of a new method used in intrusion detection,good experimental results is obtained.Theoretical analysis and numerical experiments indicate that our algorithm have good detection rate and higher efficiency in the intrusion detection,especially in the small sample experiment.