Network security situation forecasting method and system

Abstract

The invention relates to a network security situation forecasting method and system. The network security situation forecasting method comprises the steps that an obtained network security situation value sequence set serves as training data; a back propagation neural network structure is initialized, and the initialization operation comprises the step of setting the number M of nerve cells of an input layer and the number N of nerve cells of an output layer; real number encoding is carried out on the training data and the training data with the maximum fitness are found; a security situation value corresponding to the number M of the nerve cells of the input layer in the training data with the maximum fitness serves as an input value, a security situation value corresponding to the number N of the nerve cells of the output layer serve as a desired output value, the back propagation neural network is trained, and a forecasting model of the network security situation is established; the security situation value corresponding to the number M of the nerve cells of the input layer serves as the input value, and the security situation value corresponding to the number N of the nerve cells of the output layer is forecast according to the forecasting model. The network security situation forecasting method can improve the convergence rate of network security situation forecasting, shorten training time and reduce forecasting errors.

Description

technical field [0001] The invention relates to the technical field of network security, in particular to a network security situation prediction method and system. Background technique [0002] Computer network is the product of the combination of communication technology and computer technology after the development to a certain extent. While the highly developed network technology brings people fast and convenient information interaction, malicious attacks and theft of the network are also intensified. Attackers take advantage of the rapid spread and extensive interconnectivity of the network to wantonly destroy the basic performance of the network, infringe on the legitimate rights and interests of users, and threaten the security interests of society and the country, thus making the traditional network security measures face a severe test. With the development of network intrusion behavior towards diversification, scale, complexity, and persistence, security managers in...

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Problems solved by technology

The method used in this patent is the Gaussian process regression of particle swarm optimization, which requires a large amount of calculation and requires a more efficient covariance inversion calculation method or training set selection method; in addition, the principle of this method assumes that the noise must satisfy the Gaussian distribution , so in practice, it is necessary to perform a relatively complex transformation on the data in the prediction space to satisfy the assumption

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