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.

Improvement of DPoS consensus mechanism based on SVM

He Jing1a,2
Dou Tianchen1a
Chen Lin1a
Dong Yunyun1a,1b,2
1. a. School of Software, b. School of Information Science & Engineering, Yunnan University, Kunming 650504, China
2. Engineering Research Center of Cyberspace, Kunming 650504, China

Abstract

The consensus mechanism is a critical component of blockchain technology. To address the issue of delayed or ineffective handling of malicious nodes in the DPoS consensus mechanism, this paper proposed an improvement plan for the DPoS consensus mechanism based on SVM(SVM-DPoS). This approach firstly established a node discrimination model based on SVM, which analyzed the behavior motivations of nodes through a well-trained model, allowing for the timely elimination of malicious nodes based on discrimination results. Furthermore, it optimized the traditional block production process based on a fixed negotiated block order, enhancing the block production efficiency and consequently improving the overall operational efficiency of the blockchain network. Experimental results on public datasets indicate that compared to existing methods, the improved consensus mechanism can quickly eliminate malicious nodes. Not only does it maintain system stability, but it also strengthens the defense against malicious activities, thus ensuring the normal operation of the blockchain network while enhancing the overall security of the consensus.

Foundation Support

国家自然科学基金资助项目(62162067,82360280)
云南省基础研究计划项目(202401AT070474)
云南省软件工程重点实验室开放基金资助项目(2020SE310)
跨境网络空间安全教育部工程研究中心开放基金资助项目(KJAQ202112013)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.01.0029
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 9
Section: Technology of Blockchain
Pages: 2598-2603
Serial Number: 1001-3695(2024)09-005-2598-06

Publish History

[2024-05-14] Accepted Paper
[2024-09-05] Printed Article

Cite This Article

何婧, 豆天晨, 陈琳, 等. 基于SVM的DPoS共识机制改进 [J]. 计算机应用研究, 2024, 41 (9): 2598-2603. (He Jing, Dou Tianchen, Chen Lin, et al. Improvement of DPoS consensus mechanism based on SVM [J]. Application Research of Computers, 2024, 41 (9): 2598-2603. )

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)