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Blockchain Anomaly Transaction Detection: An Overview, Challenges, and Open Issues

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The 7th International Conference on Information Science, Communication and Computing (ISCC2023 2023)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 350))

Abstract

In recent years, the rapid development of blockchain technology has attracted a great deal of attention from academia and industry, as it can be applied to a variety of traditional financial and non-financial domains. Blockchain provides decentralized, tamper-evident, and traceable characteristics that enhance the security of these domains. Recent researches have revealed, however, that there are some security abnormalities in the blockchain transaction process, and in order to solve these issues, the detection of the behavior of anomaly transaction is required. In this paper, we initially explore typical and abnormal transactions in blockchain technology before delving deeply into the integration of anomaly transaction detection algorithms in blockchain applications. Then, we examine conventional approaches for anomaly identification and blockchain-based techniques for transactional anomaly detection. Then, a thorough analysis of blockchain anomaly detection models in the financial domain and its application in non-financial domains was presented. Finally, based on the results of the survey, we conclude with future research directions and challenges.

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Acknowledgements

This work was supported in part by the National Key R&D Program of China (No. 2021YFB2700601); in part by the Finance Science and Technology Project of Hainan Province (No. ZDKJ2020009); in part by the National Natural Science Foundation of China (No. 62163011); in part by the Research Startup Fund of Hainan University under Grant KYQD(ZR)-21071.

Author information

Authors and Affiliations

  1. Hainan University, Haikou, 570228, China

    Zhiwei Liu, Haoyu Gao, Hong Lei & Zixuan Liu

  2. SSC Holding Company Ltd, Chengmai, 571924, China

    Hong Lei

  3. Oxford-Hainan Blockchain Research Institute, Chengmai, 571924, China

    Zhiwei Liu, Haoyu Gao & Zixuan Liu

  4. The Blockhouse Technology Limited, Oxford, OX2 6XJ, UK

    Chao Liu

Authors
  1. Zhiwei Liu
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  2. Haoyu Gao
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  3. Hong Lei
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  4. Zixuan Liu
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  5. Chao Liu
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Corresponding author

Correspondence to Hong Lei .

Editor information

Editors and Affiliations

  1. School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecomm, Beijing, Beijing, China

    Xuesong Qiu

  2. Department of Computer Science, The University of Alabama, Tuscaloosa, AL, USA

    Yang Xiao

  3. Department of Electrical Engineering, Wright State University, Dayton, OH, USA

    Zhiqiang Wu

  4. Department of Informatics, University of Leicester, Leicester, UK

    Yudong Zhang

  5. School of Computer Engineering, Nanjing Institute of Technology, Nanjing, Jiangsu, China

    Yuan Tian

  6. School of Physics and Optoelectronic Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China

    Bo Liu

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Liu, Z., Gao, H., Lei, H., Liu, Z., Liu, C. (2024). Blockchain Anomaly Transaction Detection: An Overview, Challenges, and Open Issues. In: Qiu, X., Xiao, Y., Wu, Z., Zhang, Y., Tian, Y., Liu, B. (eds) The 7th International Conference on Information Science, Communication and Computing. ISCC2023 2023. Smart Innovation, Systems and Technologies, vol 350. Springer, Singapore. https://doi.org/10.1007/978-981-99-7161-9_10

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  • DOI: https://doi.org/10.1007/978-981-99-7161-9_10

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