NEURAL NETWORKS APPROACH FOR MONITORING AND SECURING THE E-GOVERNMENT INFORMATION SYSTEMS

Abstract

Security must be addressed in the phase of planning and designing of e-government system. Management process is needed to assess security control, where management allows departments and agencies to maintain and measure the extent of data security depending on the mechanism of revealing the security weak points .Revealing the weak points is done by using a series of standards built on the application of machine learning methods specifically Using the Neural Networks Model, and intelligent data analysis. All these techniques are useful in monitoring and measuring the extent of the secured data and the provided services. The applied results on the data site of ”Cairo cleanliness and beautification authority for cleaning” in Egypt showed that measurement qualifications were adequate, proper ,preaching, and can be generalized. The proposed approach of monitoring is very comprehensive where it limits the risk of information security that affect organizations’ risk management decisions.

Keywords: Data mining, Government Cyber space, the Neural Networks Model


Article Review Status: Published

Pages: 29-39 (Download PDF)

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