A Supervised Model to Detect Suspicious Activities in the Bitcoin Network-Reference-Cited by-同舟云学术

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A Supervised Model to Detect Suspicious Activities in the Bitcoin Network

Published:2023 Issue: Volume: Page:606-615
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Al-Hashedi Khaled Gubran,Magalingam Pritheega,Maarop Nurazean,Samy Ganthan Narayana,Rahim Fiza Binti Abdul,Shanmugam Mohana,Hasan Mohammad Kamrul

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-25274-7_53

Reference25 articles.

1. Al-Hashedi, K.G., Magalingam, P.: Financial fraud detection applying data mining techniques: a comprehensive review from 2009 to 2019. Comput. Sci. Rev. 40, 100402 (2021). https://doi.org/10.1016/j.cosrev.2021.100402

2. Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system (2008)

3. Shen, J., Zhou, J., Xie, Y., Yu, S., Xuan, Q.: Identity inference on blockchain using graph neural network. In: Dai, H.N., Liu, X., Luo, D.X., Xiao, J., Chen, X. (eds.) Blockchain and Trustworthy Systems, vol. 1490, pp. 3–17. Springer, Cham (2021). https://doi.org/10.1007/978-981-16-7993-3_1

4. Chen, B., Wei, F., Gu, C.: Bitcoin theft detection based on supervised machine learning algorithms. Secur. Commun. Netw. 2021 (2021)

5. Al-Hashedi, K.G., Magalingam, P., Maarop, N., Samy, G.N., Manaf, A.A.: A conceptual model to identify illegal activities on the bitcoin system. In: Abdullah, N., Manickam, S., Anbar, M. (eds.) Advances in Cyber Security, vol. 1487, pp. 18–34. Springer, Cham (2021). https://doi.org/10.1007/978-981-16-8059-5_2

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1. Blockchain transaction deanonymization using ensemble learning;Multimedia Tools and Applications;2024-04-26

2. Anti-Laundering Approach for Bitcoin Transactions;2023 14th International Conference on Information and Communication Systems (ICICS);2023-11-21

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