The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 32-731
Full Name: Liu Mingsheng
Position: Professor
Age: ON
Sex: Male
Address: 530 Xueyuan North Road, Handan City, Hebei Province, 056005
Country: CHINA
Tel: 13903114047
Tel prefix: 0086
Fax: 03106056906
E-mail address: liums601001@sina.com
Other E-mails: liums@sjzri.edu.cn
Title of the Paper: research on applying the theory of the wavelet neural network and entropy-grey association to the security risk assessment for e-government information system
Authors as they appear in the Paper: Mingsheng Liu Shujing Sun
Email addresses of all the authors: liums601001@sina.com,sun-shu-jing@163.com
Number of paper pages: 13
Abstract: The theories and methods of security risk assessment for e-government information systems have become one of the study focuses in the field. As the traditional security risk assessment method is more subjective in the aspect of assigning weights, the assessment results are often inconsistent with the reality. In order to overcome the problem, this paper presents a risk assessment method which combines wavelet neural network (WNN) and entropy-grey correlation, creates a WNN model and describes a simulation experiment by Matlab 7. In addition, comparisons are made in terms of convergent speed, training precision and forecasting effect between WNN and other traditional estimation methods such as BP-NN (Back Propagation Neural Network), FCM (Fuzzy Clustering Method) and SPR (Statistical Pattern Recognition). The experiment results indicate that, with the proposed method, subjectivity in the previous research is effectively avoided and the evaluation results are more sc!
ientific and valid. Case study proves that the method can be easily applied to the security risk assessment of e-government information system to produce objective results.
Keywords: Wavelet neural network, Back propagation neural network, Entropy-grey association, Security risk assessment, Assessment model, E-government information system, Matlab 7
EXTENSION of the file: .pdf
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