Risk Evaluation of Network Security Based on NLPCA-RBF Neural Network
Jingxue Ran, Bo Justin Xiao · 2010
about the risk evaluation of network security, a new assessment method based on Nonlinear Principal Component Analysis (NLPCA) is given. The principle and process of NLPCA—RBF is introduced in detail. At last, its superiority is indicated by example. It not only can reduce the dimension of input vector, but also can reserve the nonlinear characteristic of the network by nonlinearity. It is a new evaluation method of more quickly, more effective, more exact.