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Technology of Blockchain
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 4
992-997

Research on blockchain fraud account detection based on data on chain

Zhou Jian1,2
Zhang Jie1
Yan Shi1
1. School of Management Science & Engineering, Anhui University of Finance & Economics, Bengbu Anhui 233000, China
2. School of Computer Science, Beijing University of Posts & Telecommunications, Beijing 100876, China
DOI: 10.19734/j.issn.1001-3695.2021.09.0369

Abstract

Aiming at the security problems caused by fraudulent accounts in the blockchain, this paper proposed a machine learning-based fraud account detection and feature analysis model. It took the real on-chain data on Ethereum into feature extraction and used it as the data source of the model. It obtained the optimal model by comparing different machine learning methods and performing iterative training to obtain the best predictive model. At the same time, it introduced SHAP value to analyze data characteristics. The experimental results show that the fraud account detection model based on XGBoost achieves 0.205, 0.084 and 0.833 in RMSE, MAE and R2, which is better than the other comparison models. Combined with the SHAP value, it identifies the key factors that predict fraudulent accounts to provide decision-making reference for the transaction security of blockchain.

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)
安徽财经大学研究生科研创新基金资助项目(ACYC2020349)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.09.0369
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 4
Section: Technology of Blockchain
Pages: 992-997
Serial Number: 1001-3695(2022)04-005-0992-06

Publish History

[2021-12-14] Accepted Paper
[2022-04-05] Printed Article

Cite This Article

周健, 张杰, 闫石. 基于链上数据的区块链欺诈账户检测研究 [J]. 计算机应用研究, 2022, 39 (4): 992-997. (Zhou Jian, Zhang Jie, Yan Shi. Research on blockchain fraud account detection based on data on chain [J]. Application Research of Computers, 2022, 39 (4): 992-997. )

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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