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Graph-Based Covert Transaction Detection and Protection in Blockchain

delete2024-01-01
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PRE
AI
Z
Zhenyu Guo
礼欣 cover
礼欣 (Xin Li)
J
Jiamou Liu
张子剑 cover
张子剑 (Zijian Zhang) *
李萌 (Meng Li) *
胡晶晶 (Hu, Jingjing)
祝烈煌 (Liehuang Zhu)
DOI:10.1109/TIFS.2023.3347895delete
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Abstract

Abstract

En 中文
Covert communication is an method that plays an important role in secure data transmission. The technology embeds covert information into data and propagates it through covert channels. The communication quality depends on the choice of channel and data embedding techniques. Recently, blockchain has emerged to become the preferred channel to carry out covert communication for its decentralization and anonymity features. Existing covert transaction methods are constructed transaction-by-transaction, which makes them immune to text analysis-based detection methods. However, it is easy to expose their features on the transaction graph level. Unfortunately, there is yet no method to detect covert transactions by the features of transaction graph. In this paper, we propose a covert transaction detection method based on graph structure. By analyzing the statistical features of graph structure for addresses, we can infer whether they are the participants of covert transactions. Furthermore, we design a protection method of covert transactions based on graph generation networks. By adjusting the structural features between different addresses, our method enhances the security of multiple interrelated covert transactions. Experimental analysis on the Bitcoin Testnet verifies the security and the efficiency of the proposed methods.
Keywords:
Covert communication
covert transaction protection
blockchain
graph generative networks

Journal

IEEE Transactions on Information Forensics and Security cover
IEEE Transactions on Information Forensics and Security
IF:
8
Papers:
5.2K
Citations:
2.3W

Organization

H
hefei university of technology
Scholars:
2.5W
Papers: 1.7W
Citations: 35
B
beijing institute of technology
Scholars:
5.4W
Papers: 4.0W
Citations: 63
U
University of Auckland
Scholars:
2.3W
Papers: 2.4W
Citations: 3.3W
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