Network security situation prediction method and device based on dynamic confidence rule base

Abstract

The invention discloses a network security situation prediction method and device based on a dynamic belief rule base, and relates to the technical field of situation prediction, and the method comprises the steps: building a dynamic attribute weight, and updating an initial belief rule base through the dynamic attribute weight, so as to obtain the dynamic belief rule base; performing dynamic fusion according to historical observation data and the dynamic confidence rule base, and outputting a dynamic prediction result through an initial prediction model; establishing an optimization objective function based on the dynamic prediction result and the real result, and optimizing parameters of the initial prediction model to obtain a target prediction model; and inputting to-be-predicted data into the target prediction model, and outputting to obtain a predicted network security situation. According to the method, the dynamic attribute weight is established and the belief rule base is updated, so that the continuously changing characteristics of the network security situation can be better fit, the prediction precision of the network security situation is improved, and the development trend of the network security situation can be timely and accurately captured through the dynamic prediction result generated through dynamic fusion.

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