ChainDetector: Identifying Anonymous Blockchain Traffic-Reference-Cited by-同舟云学术

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ChainDetector: Identifying Anonymous Blockchain Traffic

Published:2023-04-14 Issue: Volume: Page:136-139
ISSN:
Container-title:Proceedings of the 2023 International Conference on Frontiers of Artificial Intelligence and Machine Learning
language:
Short-container-title:

Author:

Li Shi Peng¹^ORCID,Xie Ying²^ORCID,Ding Xu Yang¹^ORCID,Yang Xu¹^ORCID

Affiliation:

1. University of Electronic Science and Technology of China, China

2. Southwest Minzu University, China

Funder

Fundamental Research Funds for the Central Universities, Southwest Minzu University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3616901.3616932

Reference13 articles.

1. High-Frequency Trading on Decentralized On-Chain Exchanges

2. Making Smart Contracts Smarter

3. M. Rodler, W. Li, G. O. Karame, and L. Davi, “Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks,” ArXiv181205934 Cs, Dec. 2018, Accessed: Jan. 07, 2022. [Online]. Available: http://arxiv.org/abs/1812.05934.

4. Toward the Accurate Identification of Network Applications

5. C. Dewes, A. Wichmann, and A. Feldmann, “An Analysis of Internet Chat Systems,” p. 14.

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