Author(s)

Jianfeng Huang ¹, Jiaxuan Hu ²

Affiliation(s)

¹ Electronics and Information Engineering, North China Institute of Science and Technology, Langfang, 065201, China
² Electric Power College, Inner Mongolia University of Technology, Hohhot, 010080, China

Corresponding Author

Jianfeng Huang

ABSTRACT

In recent years, with the deepening of the integration of industrialization and intelligence, the disadvantages of the traditional industrial system, low processing efficiency and the inability to make accurate judgments in the face of complex situations are gradually prominent. At the same time, the industrial system is also faced with increasing threats of security, the economy and other factors. Based to the problems of industrial systems and the current situation and characteristics of industrial control systems, this paper proposes an evaluation method of industrial control systems based on BP neural network. First, the industrial database is formed based on the industrial field sensor, and the BP neural network model is established to comprehensively analyze the system. Then, the effectiveness of this method is verified through numerical simulation and simulation prediction, realizing the risk prediction of a complete industrial control system. The experimental results show that this method can make a comprehensive analysis of various factors of the industrial control system, and accurately predict the specific factors with risks in the system, with high computational efficiency and strong accuracy. 

KEYWORDS

BP neural network, Industrial control system, Evaluating, Simulation, Insert

CITE THIS PAPER

Jianfeng Huang, Jiaxuan Hu, The Security and Economic Evaluation Method of Industrial Control System Based on BP Neural Network. Information Systems and Economics (2024) Vol. 5: 100-111. DOI: http://dx.doi.org/10.23977/infse.2024.050413.

REFERENCES

[1] Bhamare D, Zolanvari M, Erbad A, et al. Cybersecurity for industrial control systems: A survey[J]. computers & security, 2020, 89: 101677.
[2] Yang Yiqian, Zhang Longshan. Problems and measures of industrial control network information security protection under the background of big data [J]. Network Security and Informatization, 2023 (3): 119-121.
[3] Zhong Jianfang, Cheng Meilin, Xiao Renyong. Exploration of alarm optimization and management of industrial control system in desert oil and gas field [J]. China Instrument, 2024 (07): 68-70.
[4] Sang Yi, Long Ping, Liu Xingli. Discussion on the reliability evaluation method of industrial control system [J]. Automation and Instrumentation, 2011 (1): 122-123. DOI:10.3969/j.issn.1001-9227.2011.01.046.
[5] Gao Tao. "Security of Industrial Automation and Control Systems- -Part 3-2: Information Security Risk Assessment for System Design," standards analysis [J]. China Standardization, 2022 (6): 89-96,111.
[6] Liu Guanquan, Liu Haicheng, Wang Xuejiang, et al. Research on the deployment of industrial control safety in the production centralized control system [J]. Metallurgical Automation, 2024, 48 (S1): 333-336.
[7] Yang Lixia, Li Jie, Xu Lei, et al. Research on security risk assessment of industrial control system based on multi-attribute decision-making [J]. Consumer Electronics, 2022 (3): 90-92. 
[8] Qin Lang, Chen Xingshu, Zhu Yi, et al. Industrial control protocol operation field identification based on steady state properties [J / OL]. Engineering Science and Technology, http://kns-cnki-net.webvpn.ncist.edu.cn/kcms/detail/ 51.1773.tb.20240605.1409.010.html.Liao 
[9] Shi Libin. Design of real-time control system for running status of thermal instrument of thermal power unit [J]. Automation and instrumentation, 2024, 39(05):126-129+164.

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