A Dynamic Early Warning Method for Classified Information Security in Large scale Communication Network
When confidential information is transmitted in communication networks,it may be attacked by abnormal nodes in the network,posing a risk of confidential information leakage.In order to ensure the security of confidential information,a dynamic early warning method for confidential information in large-scale communication network was proposed.Firstly,the wavelet threshold denoising algorithm was adopted to eliminate the noise from data,and then the data were normalized to obtain complete operation data of large-scale communication network.Based on the sample attribute clustering results of communication data,the abnormal data in large-scale communication network were identified to determine the source of information threats as well as the dynamic warning level of information secu-rity.According to the dynamics of infectious disease,the spread process of network security threats was specifically analyzed,and then a dynamic early warning model for information security was built.After that,the model was solved by combining differential game theory,thus obtaining the dynamic variables in the transmission process of confidential information.Combined with the early warning level,the dynamic early warning for the security of confidential informa-tion in communication network was realized.The experimental results show that the method can effectively detect the early warning level of all abnormal nodes in communication network nodes,with higher performance.
Large scale communication networkConfidential informationDynamic safety warningDynamics of infectious diseases
NETL
NSTL
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