Simulation of Regularization Inversion Algorithm for Network Intrusion Differential Equations
To ensure network security and maintain the network operating environment,a differential equation in-version algorithm for network intrusion based on 20-sim software was presented.Firstly,differential equations were in-troduced to construct a model of network intrusion based on the 20-sim platform.Through the calculation for model singularities,the spread degree and diffusion trend of network intrusion behavior were clarified.In order to optimize the accuracy of network intrusion model construction,a regularized inversion algorithm was introduced.Then,the a-daptive adjustment of the regularization factor in the inversion algorithm was achieved through the regularization of construction data and the analysis of the constraint objective function.Finally,the regularization inversion factor was substituted into the inversion equation to derive the parameter vector of the model.According to the result of inversion parameter derivation,the error correction and optimization were implemented on the network intrusion model.Experi-mental results show that the proposed method can accurately analyze network intrusion behavior with shorter time con-sumption,which is of great significance for the development of Internet technology.
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