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Technology of Blockchain
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 10
2923-2928

Analysis and prediction of multi-type illegal accounts of Ether based on transaction characteristics

Zhou Jian1,2
Yan Shi1
Zhang Jie1
Huang Shihua1
1. College of Management Science & Engineering, Anhui University of Finance & Economics, Bengbu Anhui 233040, China
2. College of Computer Science, Beijing University of Posts & Telecommunications, Beijing 100876, China
DOI: 10.19734/j.issn.1001-3695.2022.03.0113

Abstract

The increasingly frequent illegal transactions hinder the secure transactions of Ethereum, and the anonymity of electronic currency makes it difficult to track and analyze illegal transactions. This paper used the transaction data of the Ethereum platform as the data source, the marked illegal account and unmarked normal account data set as the training set, and the characteristic attributes of the transaction data as the construction basis. It used CatBoost algorithm to make an overall prediction of illegal accounts containing multiple types. It used the T-SNE algorithm to realize the dimensionality reduction and visualization of transaction features, adopted multiple cross-validation, and introduced the SHAP value factor to judge the positive and negative attributes of the feature. The prediction effect accuracy rate of the established model reached 94.29%. The evaluation metric for the area(AUC) value reached 0.984 6. The proposed scheme can more accurately predict the illegal behavior on the Ethereum trading platform, and will effectively improve the blockchain-based trading environment.

Foundation Support

国家自然科学基金资助项目(61402001)
安徽省高等学校自然基金资助项目(KJ2020A0013,KJ2019A0657,KJ2018A0441)
安徽财经大学重点项目(ACKY1815ZDB,ACKYB19012)
安徽财经大学科研创新基金项目(ACYC2020369)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.03.0113
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 10
Section: Technology of Blockchain
Pages: 2923-2928
Serial Number: 1001-3695(2022)10-005-2923-06

Publish History

[2022-05-23] Accepted Paper
[2022-10-05] Printed Article

Cite This Article

周健, 闫石, 张杰, 等. 基于交易特征对以太网多类型非法账户的分析与预测 [J]. 计算机应用研究, 2022, 39 (10): 2923-2928. (Zhou Jian, Yan Shi, Zhang Jie, et al. Analysis and prediction of multi-type illegal accounts of Ether based on transaction characteristics [J]. Application Research of Computers, 2022, 39 (10): 2923-2928. )

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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