System Development & Application
|
App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 12
3696-3700,3705

Character distance clustering-based classification algorithm for unknown industrial control protocols

Tu Yachun1,2,3,4
Xu Chi2,3,4
Du Xinyi2,3,4,5
Wang Yitian1,2,3,4
Xia Changqing2,3,4
Jin Xi2,3,4
1. College of Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China
2. Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China
3. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110169, China
4. Institutes for Robotics & Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
5. School of Electronic & Information Engineering, Liaoning Technical University, Huludao Liaoning 125105, China
DOI: 10.19734/j.issn.1001-3695.2023.04.0179

Abstract

The classification of unknown industrial control protocol is the premise of realizing multi-type mixed industrial control protocol identification. Based on the brief and simple format of industrial control protocol messages with binary characters, this paper proposed an unknown industrial control protocol classification method based on character distance clustering. Previous classification algorithms mainly calculated the Euclidean distance of text protocols, which couldn't accurately reflect the similarity of unknown industrial control protocol messages. In contrast, the proposed algorithm realized unknown industrial control protocol classification by constructing the sequence of binary features sequences, calculating their character distances and performing K-means clustering. To guarantee the classification accuracy, it proposed an algorithm determining the optimal clustering K value based on the maximum average character distance. Semi-physical simulation results show that the protocol classification accuracy for unknown industrial control protocol classification can reach 96.80%, while the protocol type identification accuracy can reach 97.07%.

Foundation Support

国家自然科学基金资助项目(92267108,62173322,61972389,62133014)
辽宁省科学计划资助项目(2023JH3/1020004,2023JH3/10200006,2022JH25/10100005)
中国科学院青年创新促进会资助项目(2019202,2020207,Y2021062)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.04.0179
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 12
Section: System Development & Application
Pages: 3696-3700,3705
Serial Number: 1001-3695(2023)12-027-3696-05

Publish History

[2023-07-13] Accepted Paper
[2023-12-05] Printed Article

Cite This Article

屠雅春, 许驰, 杜昕宜, 等. 基于字符距离聚类的未知工控协议分类方法 [J]. 计算机应用研究, 2023, 40 (12): 3696-3700,3705. (Tu Yachun, Xu Chi, Du Xinyi, et al. Character distance clustering-based classification algorithm for unknown industrial control protocols [J]. Application Research of Computers, 2023, 40 (12): 3696-3700,3705. )

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)