Risk Evaluation of Network Security Based on NLPCA-RBF Neural Network

摘要：

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.

关键词： Network security Nonlinear Principal Component Analysis (NLPCA) Radial Basic Function Neural Network (RBFNN) Risk evaluation

作者: RAN Jingxue XIAO Bo

作者单位: Modern Education Technical Department, Minzu University of China, Beijing

会议类型: 国际会议

会议名称: 2010年IEEE多媒体信息网络与安全国际会议

会议地点: 南京

会议语种:英文

页码: 398-402

在线出版日期: 2010-11-01（万方平台首次上网日期，不代表论文的发表时间）