| 基于模糊神经网络的信息系统安全风险评估研究 |
| |
| 引用本文： | 王甲生,付钰,吴晓平.基于模糊神经网络的信息系统安全风险评估研究[J].武汉理工大学学报(交通科学与工程版),2011,35(1). |
| |
| 作者姓名： | 王甲生 付钰 吴晓平 |
| |
| 作者单位： | 海军工程大学信息安全系,武汉,430033 |
| |
| 基金项目： | 国家自然科学基金项目资助(批准号:60774029) |
| |
| 摘 要： | 采用改进的模糊AHP构建模糊综合评判中的权重集,克服了传统AHP的不足;将模糊综合评判的数据作为样本,利用人工神经网络强大的自适应能力与非线性映射能力,获得专家知识、主观判断以及风险因素对系统的影响程度,从而对信息系统进行安全风险评估,降低了评判过程中的随机性和专家主观上的不确定性.通过实例说明了方法的应用,并借助误差分析和相关性分析检测了模型的有效性.
|
| 关 键 词： | 模糊神经网络 改进的模糊AHP 信息系统 安全风险评估 |
Research on Security Risk Assessment of Information System Based on Fuzzy Neural Network |
| |
| Wang Jiasheng,Fu Yu,Wu Xiaoping.Research on Security Risk Assessment of Information System Based on Fuzzy Neural Network[J].journal of wuhan university of technology(transportation science&engineering),2011,35(1). |
| |
| Authors: | Wang Jiasheng Fu Yu Wu Xiaoping |
| |
| Institution: | Wang Jiasheng Fu Yu Wu Xiaoping(Department of Information Security,Naval University of Engineering,Wuhan 430033,China) |
| |
| Abstract: | Weight coefficients of the risk factors in fuzzy synthetic evaluation are obtained by the improved fuzzy AHP,which overcomes the shortages of the traditional AHP;Data of fuzzy synthetic evaluation is taken as learning sample to gain the knowledge,experience,subjective judgments of experts and the influence of risk factors on information system utilizing the self-adaptation and nonlinearity mapping function of the neural network,so the randomicity and the uncertainty of experts are reduced.Finally,the applic... |
| |
| Keywords: | fuzzy neural network improved fuzzy AHP information system security risk assessment |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
