Network security situation awareness method based on artificial immune and grey correlation degree analysis

Abstract

The invention relates to a network security situation awareness method based on artificial immune and grey correlation degree analysis. The method includes the following steps: selecting features thataffect network security situation assessment from data of a power physical system and a power information system, and performing data preprocessing and feature extraction; calculating the data obtained through feature extraction by using an artificial immune model to acquire a network security posture value; establishing a network security situation prediction model that is based on grey correlation degree analysis and integrates grey prediction and DT decision tree algorithms; and taking the obtained network security posture value as the model input of the network security situation prediction model to obtain a network situation prediction value of the next time phase. According to the network security situation awareness method based on artificial immune and grey correlation degree analysis provided by the invention, the particularity of the power system and the randomness and uncertainty of the network security situations are fully considered, the limitation of a single algorithm can be avoided, and the accuracy of prediction can be greatly improved.

Description

technical field [0001] The invention relates to the technical field of network security situation analysis, and more specifically, to a network security situation awareness method based on artificial immunization and gray correlation degree analysis. Background technique [0002] With the widespread popularization and multi-directional penetration of the Internet, the smart grid is gradually developing in the direction of two-way interaction and real-time demand response. How to ensure the confidentiality of information while ensuring the safe and stable operation of the grid will become the key to the design and implementation of the smart grid. From the perspective of composition and geographical distribution, the smart grid is a very complex system. Compared with the traditional power transmission system, the smart grid has more intelligent features such as informatization and automation. However, the key to realizing the intelligence of the power grid is to deeply integ...

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Problems solved by technology

[0005] In order to solve the technical defects of the above prior art that the power communication network security situation prediction model is single and it is difficult to obtain a more accurate network situation prediction value, the present invention provides a network security situation awareness method based on artificial immunity and gray correlation degree analysis

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