网络信息安全风险评估建模及研究

Research and Model Construction on Evaluating Risk about the Network Information Safety

网络信息安全的风险评估问题因其具有高复杂性和非线性的特点,无法利用传统的数学方法来进行有效建模与分析。文章根据RBF神经网络技术特点,通过分析与建模得到一种针对该问题的有效解决方法。仿真结果表明,该建模方法能有效地应用于网络信息安全风险评估的问题。

Because of the highly complex and nonlinear properties,people can＇t use the traditional mathematical method to solve the problem such as evaluating risk of network information safety.Based on the analysis about the technical properties of RBF neural network,an effective method is provided to solve this problem.The simulation results show that this kind of method can be used to the problem of evaluating risk of network information safety effectively.