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网络信息安全风险评估建模及研究
引用本文:徐翔.网络信息安全风险评估建模及研究[J].实验科学与技术,2011,9(4):13-15.
作者姓名:徐翔
作者单位:上海大学管理学院,上海,200444
摘    要: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。

关 键 词:网络信息安全  RBF神经网络  风险评估  建模

Research and Model Construction on Evaluating Risk about the Network Information Safety
XU Xiang School of Management,Shanghai University,Shanghai ,China.Research and Model Construction on Evaluating Risk about the Network Information Safety[J].Experiment Science & Technology,2011,9(4):13-15.
Authors:XU Xiang School of Management  Shanghai University  Shanghai  China
Institution:XU Xiang School of Management,Shanghai University,Shanghai 200444,China
Abstract: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.
Keywords:network information safety  RBF neural network  evaluate risk  construct model
本文献已被 CNKI 维普 万方数据 等数据库收录!
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