Situation awareness method based on improved neural network and readable storage medium

Abstract

The invention relates to a situation awareness method based on an improved neural network and a readable storage medium. The method comprises the following steps: a sensing step: acquiring a plurality of system overall influence indexes and weights thereof, and acquiring a plurality of first-level indexes and second-level indexes of each subsystem; an understanding step: determining first system security based on the system overall influence index and the weight thereof, determining second system security based on the first-level index and the second-level index, and integrating the first system security and the second system security to obtain a system security level; and a prediction step, including constructing a primary neural network, inputting the system overall influence index, the secondary index and the system security level into the primary neural network for training to obtain a neural network situation awareness prediction model, and performing prediction based on the neural network situation awareness prediction model. According to the method, the system safety can be comprehensively, effectively and accurately predicted.

Description

technical field [0001] The present invention relates to the field of network security, and more particularly, to a situational awareness method and a readable storage medium based on an improved neural network. Background technique [0002] The concept of situational awareness was first constructed by Andersley (Endsley), including prediction (Perception), understanding (Comprehension), and cognitive (Projection) three levels. With the increasing importance of cyberspace security, more and more attention has been paid to the research and application of network security situational awareness. For complex network systems, the situational awareness of network security currently used is usually to comprehensively consider the overall security indicators of the system or consider the security indicators of the subsystems alone, to perceive and extract key useful information for each indicator, and to assess the impact of each indicator on security. Influence the understanding of...

AI Technical Summary

Problems solved by technology

[0003] However, a simple evaluation of a certain level cannot effectively evaluate the system security

Only considering the overall security indicators will ignore the comprehensive impact of the subsystems, and only considering the security indicators of the subsystems will ignore the security threats faced by the system as a whole

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