Network asset evaluation method and device, electronic equipment and readable storage medium

Abstract

The invention provides a network asset evaluation method and device, electronic equipment and a readable storage medium. The method comprises the following steps: acquiring at least one risk factor of a to-be-evaluated network asset; inputting the at least one risk factor of the to-be-evaluated network asset into a risk prediction network to obtain a risk coefficient of the to-be-evaluated network asset; obtaining a stage coefficient of the to-be-evaluated network asset according to a risk stage of the risk factor of the to-be-evaluated network asset in a killing chain; and inputting the risk coefficient of the to-be-evaluated network asset and the stage coefficient into a risk matrix, and obtaining a risk level of the to-be-evaluated network asset, the element in the risk matrix indicating a risk level corresponding to a combination of the risk coefficient and the stage coefficient. By adopting the method disclosed by the invention, evaluation errors can be effectively avoided, the accuracy and timeliness of evaluating the network assets are improved, and a network asset evaluation result with higher reference value is provided for a user.

Description

technical field [0001] The present disclosure relates to the technical field of asset evaluation, and in particular to a network asset evaluation method, device, electronic equipment and readable storage medium. Background technique [0002] With the development of information technology, the network has gradually become an indispensable part of every field of life. However, while the network continues to bring convenience to life, it also brings corresponding hidden dangers. In urban water affairs, transportation, power grids and other environments, the distribution of network assets is intricate, and generally has the characteristics of wide range, large amount, and difficult management. If there is a problem in a certain aspect of the asset, under the influence of the complex network environment, its risk is difficult to be discovered and the risk level is difficult to accurately assess, which will affect the timeliness and rationality of risk processing. The current mai...

AI Technical Summary

Problems solved by technology

However, while the network continues to bring convenience to life, it also brings corresponding hidden dangers. In urban water affairs, transportation, power grids and other environments, the distribution of network assets is intricate, and generally has the characteristics of wide range, large amount, and difficult management. If there is a problem in one aspect of the asset, under the influence of the complex network environment, its risk is difficult to be discovered and the risk level is difficult to accurately assess, which will affect the timeliness and rationality of risk processing

The current mainstream method is to artificially match each risk factor event of network assets with the risk level based on historical experience. This method requires a lot of time and energy, and the accuracy of risk rating cannot be guaranteed.

In addition, early risk factors that are developing but whose characteristics have not been matched cannot be detected in time, which can easily lead to further expansion of harm

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