Feature selection method of grey wolf optimization algorithm based on fused random black hole strategy

Abstract

The invention discloses a feature selection method of a grey wolf optimization algorithm based on a fused random black hole strategy. The method comprises the steps of initializing a grey wolf population, obtaining the position update of the grey wolf population, updating the positions of the three head wolves by fusing a random black hole strategy, solving the relative distance between the threehead wolves and the remaining wolves, adjusting the positions of the remaining wolves, obtaining the position of the current wolf after the position update according to the approximate distance, and predicting the value of the optimal solution according to the positions of the three head wolves. The method provided by the invention is used in the intrusion detection process of the industrial control system, the characteristics of the intrusion detection data set are calculated, analyzed and selected, and then the characteristic sequence which is beneficial to improving the intrusion detectionaccuracy and efficiency of the industrial control system is obtained, so that the intrusion detection accuracy and efficiency can be effectively improved.

Description

technical field [0001] The invention relates to the technical field of intrusion detection, in particular to a feature selection method based on a gray wolf optimization algorithm fused with a random black hole strategy. Background technique [0002] In recent years, the wave of informatization has swept the world, and information and communication technology and manufacturing technology have cross-integrated. In terms of industry, with the integration and complementarity of informatization and industrialization, industrial control systems gradually use standardized network protocols and open application software, which gives criminals an opportunity, and more or less industrial The situation that the control system is destroyed, so intrusion detection technology has become one of the important components of industrial control information security protection technology. In the process of detecting intrusions, detection algorithms often have to face large-volume and high-dim...

AI Technical Summary

Problems solved by technology

Optimization algorithms are often used to solve feature selection problems, but commonly used optimization algorithms are more random in feature selection or easily fall into local optimum

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