Approach to Information Systems Security Risk Assessment Based on Fuzzy-BP Neural Network
She Yu-mei · Jisuanji fangzhen · 2011
In order to improve the accuracy of the information security evaluation and reduce the effectiveness of expert's subjectivity,this paper put forward an improved the method of fuzzy theory and BP neural network model for evaluation.Corresponding evaluation set membership matrix was created through analysis of assets value.The information security risk levels were obtained from learning of fuzzy theory and the BP neural network.Finally,simulation experiments show that this model can provide precise result of evaluation information system risk assessment.Compared with the models,the accuracy is enhanced,and it is an effective information safety risk assessment method.