RESEARCH ON THE EVALUATION OF SECURITY RISK FOR E-GOVERNMENT INFORMATION SYSTEM

摘要：

This paper presents a Risk Assessment method which combines wavelet neural network (WNN) and entropy-grey correlation, creates a WNN model and has done simulation experiments by Matlab7.1. In addition, comparisons between WNN and other traditional estimation methods are made in terms of convergent speed, training precision and forecasting effect. The experiment results indicate that, with this method, subjective judgment in previous research is avoided effectively and the evaluation results are more scientific and reasonable. The study of the case shows that the method can be easily applied to the security risk assessment of e-government information system to produce objective results.

关键词： Wavelet Neural Network(WNN) Risk Assessment E-Government Information System Weight

作者: MING-SHENG LIU SHU-JIN SUN XIAO-HUA YIN

作者单位: Handan College, Handan, 056005, China Information Engineering Department, Shijiazhuang Railway Institute, Shijiazhuang, 050043, China Engineering Quality Center, Hebei Academy of Building Research, Shijiazhuang, 050021, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 1404-1409

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）