Individual network security awareness situation prediction method

Abstract

The invention relates to an individual network security awareness situation prediction method, and belongs to the technical field of computer and information sciences. The method comprises the steps of firstly performing pre-treatment and attribute selection on network security awareness data of a common individual, then judging an individual network security awareness level, using a naive Bayes algorithm to work out each level initial probability of the individual, initial probability of the individual and a single-step transfer matrix, and build a Markov chain, and thus building a network security awareness situation change probability prediction system for crowds with different risk levels. Compared with the prior art, the method provided by the invention can select the prediction modelwith the corresponding risk level according to the data input by different individuals and predict the change probability in many years while further enhancing the prediction accuracy of the individual network security awareness situation change probability, is fast in processing speed, and can achieve the purposes of predicting the future security awareness situation change probability of the individual and nipping in the bud.

Description

technical field [0001] The invention relates to a method for predicting an individual network security awareness situation, and belongs to the technical field of computer and information science. Background technique [0002] Network security awareness is a psychological state of alertness that people cause damage to information or the medium in which it is located. In order to solve the problem of frequent security incidents caused by weak cybersecurity awareness, which adversely affects individuals or groups, it is necessary to predict the cybersecurity awareness situation and intervene in advance. Therefore, the present invention will provide an individual network security awareness situation prediction method to intervene in the network security awareness situation early and enhance the practical application of network security awareness education. [0003] The basic problem that needs to be solved in the individual network security awareness situation prediction method...

AI Technical Summary

Problems solved by technology

This method is suitable for a large or small number of samples and irregular or regular samples, with a small amount of calculation, but this method is limited by the gray system, that is, a system with incomplete information and non-uniqueness, and the theoretical system is not perfect.

[0010] 4. Cox proportional hazards

This method avoids the limitations of the promotion and application of mathematical formulas, and is widely used. Anyone can score the model variables with scoring rules to obtain the predicted probability. However, the application conditions of the Cox proportional hazards regression model are easy to be ignored, and the data requirements are high. Tracking Long time and high cost

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