Algorithm Design of IDS Based on Least Squares Hidden Space Support Vector Machines

A new algorithm based on least squares hidden space support vector machines(LSHSSVMs) was proposed,to improve classific precision of network intrusion detection model,reduce the number of training data set and learning time.The experimental results useing KDD CUP 1999 data set show that LSHSSVMs has better generalization ability,quicker iterative speed,higher detection accuracy,and lower error rate than SVMs.