摘要
当前电力信息系统风险评估中,专家主观因素所占比重较多,导致评估结果主观因素影响较大,结果与期望值偏差过大.针对以上问题,采用模糊系统处理资产、威胁、脆弱性3个因素的子因素,并将处理结果作为BP神经网络的输入,实验结果表明基于因素模糊处理的电力信息系统风险评估方法的输出结果更加接近期望值.
The experts＇ subjective factor takes a large proportion in the current risk assessment of electric power information system. There are obviously biases between the results and expected deviation as the influence from subjective factors. In order to cope with the above-mentioned problems, the fuzzy logic is used to deal with three factors, assets, threat and vulnerability, transmit the results as the BP neural network as network inputs. The results of the experiment illustrate that the result of output of power information system risk method based on fuzzy assessment factors is closer to the expected value.
出处
《上海电力学院学报》
CAS
2014年第2期161-164,共4页
Journal of Shanghai University of Electric Power
基金
信息安全国家重点实验室(中国科学院软件研究所)开放式基金(04-02-1)
上海市教育委员会创新基金(11YZ192)
上海市"科技创新行动计划"重点项目(11511504400)
关键词
风险评估
电力信息系统
模糊系统
BP神经网络
risk assessment
power information system
fuzzy systems
BP neural network
