Application Of Information Security Technology In Security And Confidentiality Of E-Government Intranet

With the advent of the age of information multimedia,the background of big data has made the issue of information security the top of cyber security issues.In particular,the defense of the cyber security of the national information security protection department has also received more and more attention.Although the government has invested heavily in information projects,there are still some threats to information security.Premier Li Keqiang deployed government affairs services to China Netcom:Networking is the principle,and Lonely Net is an exception,which shows that the government attaches great importance to the construction of E-government.This in a certain sense provides a certain guiding significance for the construction of e-government intranet.The purpose of this paper is to establish a suitable e-government intranet platform by studying the application of information security technology to the actual needs of e-government intranets,and by studying the status quo at home and abroad and combining China's national conditions and needs.Has a certain practical significance.In accordance with the actual needs of the e-government intranet of the information security protection department,this article mainly studies the research background and significance of the information security protection department,analyzes the research status at home and abroad,and dissects the current security threats and loopholes.Then,according to the depth-confidence network-based intrusion detection model,a two-layer constrained Boltzmann machine and a deep confidence network intrusion detection model consisting of a BP neural network are used to perform experiments.As well as the experiment of setting the number of iterations of the BP neural network,this model can effectively classify the four data types.Then the intrusion detection model of the deep belief network is applied to the system,and the code is implemented according to the principle of deep belief network.It is found that this model has very good effect on data classification in intrusion detection,so as to perform intrusion detection on the data.Secure the e-government intranet security.At the same time,it also introduces the key security technologies and algorithms used in e-government intranets.It designs the e-government security platform and subdivides it into specific modules.Through overall design,database design,based on deep confidence network system function modules,identity authentication.The design of the module,security role module,access control module,database security module,single sign-on module and security audit module applies the above theory to specific systems.The conclusion of this paper can help the security construction of e-government intranet,and apply the intrusion detection model of deep trust network to the specific system to intrusion detection of data to ensure the security and privacy of e-government intranet.Starting from actual needs,it meets the needs of national policies,adheres to the combination of theory and practice,and promotes the development of new technologies and new kinetic energy.