A Security Evaluation Model of the Industrial Internet Based on a Selection Covariance Matrix

Abstract

To improve the quality of industrial internet network security assessment, this paper proposes an improved industrial internet network security situation assessment model. First,we analyze the factors that affect the network security of the industrial internet and determine the evaluation indicators; Second, the ER iterative algorithm and mutation method are used to fuse the evaluation indicators; Then, according to the fusion results, the industrial Internet network security situation assessment model is established; Finally, the selection covariance matrix adaptive evolution strategy (S-CMA-ES) is used to optimize the model parameters. This method establishes one-way selection of better strategies among different subclass groups, achieving better evaluation results. This method effectively solves the problem of reduced modeling accuracy caused by insufficient data. This paper conducts evaluation experiments on an industrial data set, and verifies the feasibility and effectiveness of the industrial Internet network security situation assessment model and S-CMA-ES optimization algorithm proposed in this paper.

Keywords

• Belief rule-based system
• expert system
• industrial internet network
• selection covariance matrix adaptive evolution strategy