摘要
本文提出了一个将神经网络技术与模糊综合评价法结合的评估模型。首先根据信息系统资产的组成以及安全性因素建立层次性的安全性指标体系,使用层次分析法确定指标权重;然后借助安全工具的测试结果,使用模糊综合评估法构造前向神经网络;最后,使用神经网络的反向传播算法调整指标权重。在此模型的基础上,设计并实现了一个信息系统安全性评估系统。
This paper proposes a model which combines artificial neural networks and the methods of fuzzy comprehensive evaluation. It first creates a hierarchical criterion model according to the components of information systems and the security elements, computes the weight of each criterion by the AHP method, Then with the help of various security tools, it constructs a forward artificial neural network by fuzzy comprehensive evaluation methods. Finally, it tunes the weights with the BP algorithm. Based on this model,a security evaluation software of information systems is implemented.
出处
《计算机工程与科学》
CSCD
2008年第11期16-18,共3页
Computer Engineering & Science
关键词
信息系统
模糊综合评价
神经网络
反向传播算法
information system
fuzzy comprehensive evaluation
artificial neural network
back propagation algorithm
