关键词: 网络安全, 综合评价, 神经网络, 样本数据, 模型

Abstract: Traditional methods such as grey evaluation model and fuzzy theory,determining the subordinate function and weights for each index,are influenced by personal factors.Artificial Neural Network（ANN） is then applied to network security comprehensive evaluation.The training set data,verification set data and testing set data,in agreement with the singular-evaluation index criterion,is randomly generated.The ANN-based model with reliability,effectiveness and comparative for network security is established obeying to the basic principles and steps for establishing ANN-model.The case study shows that the methodology for generating set data and the process for establishing ANN-model are effective and reliable.The phenomenon such as over-training and over-fitting can be effectively escaped and the established model possesses good generalization.The relationship between the network security and the evaluation index is nonlinear and the most important index is network security strategy.

Key words: network security, comprehensive evaluation, Artificial Neural Network（ANN）, set data, model