In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
See More
Technology of Information Security
|
App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 9
2772-2775,2780

Situation understanding algorithm for industrial control system based on ARIMA prediction and modification

Ao Jiansong1,2,3,4
Shang Wenli1,2,3,4
Zhao Jianming1,2,3,4
Liu Xianda1,2,3,4
Yin Long1,2,3,4
1. Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China
2. Robotics & Intelligent Manufacturing Innovation Institute, Chinese Academy of Science, Shenyang 110016, China
3. Networked Control Systems Key Laboratory of CAS, Shenyang 110016, China
4. University of Chinese Academy of Sciences, Beijing 100049, China
DOI: 10.19734/j.issn.1001-3695.2019.05.0148

Abstract

Based on the concept of situational awareness, this paper focused on the analysis of the field control layer data of industrial control system, and proposed an algorithm for situational understanding of industrial control system. The algorithm used FCM algorithm to model the normal state space of the system and measure the degree of real-time state deviating from the normal state; in addition, by using the time series nature of data, predicted the system data information at the subsequent time by ARIMA; finally, it used the sliding window technology to realize the data information fusion of the system in the past, present and future, calculated the binary which could represent the real-time situation of the system, and visual presentation of the real-time security situation of the system, realized the real-time situation understanding. The data simulation experiments verify the feasibility and effectiveness of the algorithm. The output of the algorithm can provide reliable decision-making information for security managers.

Foundation Support

国家重点研发计划项目(2018YFB2004200)
中科院战略性先导科技专项项目(XDC02020200)
国家自然科学基金资助项目(61773368)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.05.0148
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 9
Section: Technology of Information Security
Pages: 2772-2775,2780
Serial Number: 1001-3695(2020)09-042-2772-04

Publish History

[2020-09-05] Printed Article

Cite This Article

敖建松, 尚文利, 赵剑明, 等. 基于ARIMA预测修正的工控系统态势理解算法 [J]. 计算机应用研究, 2020, 37 (9): 2772-2775,2780. (Ao Jiansong, Shang Wenli, Zhao Jianming, et al. Situation understanding algorithm for industrial control system based on ARIMA prediction and modification [J]. Application Research of Computers, 2020, 37 (9): 2772-2775,2780. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)