Security situation awareness of laser sensor networks based on logistic regression model
In order to analyze the impact of different threat propagation on the laser sensor network system,and accurately and comprehensively evaluate the security of the system,a method of laser sensor network security situation awareness under the logic regression model is proposed.The neighborhood rough set and logical regression model are combined to extract the security situation elements of the laser sensor network.By analyzing the non time series charac-teristics of different elements,the RBF neural network is used to obtain the nonlinear mapping relationship of network security situation values,and the laser sensor network security situation awareness model is constructed.The hybrid hi-erarchical genetic algorithm is introduced to solve the model to achieve network security situation awareness.The ex-perimental results show that the accuracy of the proposed method to obtain the security situation of the laser sensor net-work is 96.4％,and the error between the security situation value and the actual value is kept at-3～3,which can obtain accurate changes in the security situation of the laser sensor network,indicating that the method has certain ap-plication value.
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