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Technology of Blockchain
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 7
1956-1960

Research on mining behavior detection and identification technology based on network traffic

Shi Boxuan
Lin Shenwen
Mao Hongliang
National Computer Network Emergency Technology Coordination Center, Beijing 100029, China
DOI: 10.19734/j.issn.1001-3695.2022.02.0034

Abstract

In view of the low accuracy of the existing domestic mining behavior detection and identification technology, lack of specific mining behavior evidence, and unfavorable supervision, this paper proposed a network traffic-based mining behavior detection and identification model and multi-dimensional mining behavior. Mining fingerprint feature extraction method, this model could efficiently and accurately realize automatic detection and identification of mining behavior by extracting and analyzing the command features of mining pool protocols such as Stratum and Getwork, and extracted multi-dimensional mining fingerprint features, including mining instructions, mining pool currency, software model, mining account, computing power, energy consumption and other information. The experimental results show that the model can accurately identify relevant mining behaviors and analyze its multi-dimensional mining fingerprint features. The accuracy of computing power feature recognition is about 95%, and the overall mining behavior detection and recognition accuracy is 91.73%, to provide an accurate and effective solution for regulating virtual currency mining.

Foundation Support

国家重点研发计划“区块链”重点专项资助项目(2021YFB2701104)
北京市自然科学基金资助项目(M21038)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.02.0034
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 7
Section: Technology of Blockchain
Pages: 1956-1960
Serial Number: 1001-3695(2022)07-005-1956-05

Publish History

[2022-03-31] Accepted Paper
[2022-07-05] Printed Article

Cite This Article

史博轩, 林绅文, 毛洪亮. 基于网络流量的挖矿行为检测识别技术研究 [J]. 计算机应用研究, 2022, 39 (7): 1956-1960. (Shi Boxuan, Lin Shenwen, Mao Hongliang. Research on mining behavior detection and identification technology based on network traffic [J]. Application Research of Computers, 2022, 39 (7): 1956-1960. )

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.

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