- 期刊
Security Situation Assessment Method of Industrial Control System Network Based on Sine-SSA-BP
摘要
The existing industrial control system network security situation assessment is mainly faced with an incomplete index system and low accuracy of assessment methods. In this paper, to address the above problems, by analyzing the characteristics of the operational status of this network, we design a security situation assessment indexes system and security situation classification scheme for industrial control system network containing factors such as attack impact, vulnerability threat, asset, defense measures; and propose a security situation assessment method for industrial control system network based on Sine-SSABP. The current network security situation is comprehensively demonstrated through the classified security situation and quantitative assessment results. The method uses Sine optimized SSA algorithm to solve the problems of low training efficiency and low evaluation accuracy of the SSA-BP network. The experimental results show that the proposed method can comprehensively evaluate network security situations, and the evaluation accuracy is higher than the existing methods.