Gaussian process regression method for predicting network security situation

Abstract

The invention discloses a gaussian process regression method for predicting a network security situation in the technical field of network information security. According to the invnetion, a hierarchical network security situation evaluation index system is structured by using an analytic hierarchy process; the damage degree of various network security threats to the network security situation is analyzed by the system so as to calculate a network security situation value of each time monitoring point and structure a time sequence and then structure into a training sample set; the training sample set is subjected to iterative training by utilizing gaussian process regression so as to obtain a prediction model meeting an error requirement; an optimal training parameter of the gaussian process regression is dynamically searched by utilizing an particle swarm optimization in the training process so as to reduce a prediction error, and finally the prediction of the network security situation value of the time monitoring point in the future is finished by utilizing the prediction mode. The gaussian process regression method provided by the invnetion has the beneficial effects of better adaptability and lower prediction error in the respect of reducing the prediction error of the network security situation.

Description

technical field [0001] The invention belongs to the technical field of network information security, in particular to a Gaussian process regression method for network security situation prediction. Background technique [0002] The popularity of the Internet and technological innovation have profoundly changed human life, but also brought serious network security problems. At present, various network security problems emerge in endlessly, and various network attacks gradually show development trends such as distribution, scale, complexity, and indirection. However, the current network security equipment does not have a relatively complete security alarm mechanism. Precise warning of security trends has very important theoretical and practical significance. At present, the mainstream method is to realize network security early warning by predicting the network security situation value of the target network in the future time node. The prediction method of network security s...

AI Technical Summary

Problems solved by technology

[0005] Current network security situation prediction methods are mainly based on methods such as artificial neural networks, support vector machines, and Bayesian networks, but practical applications have found that these generally have large prediction errors.

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