Identifying Covert Channels in Blockchain: A Case Study on Bitcoin, Zcash, Monero and Ethereum

Blockchain has been an attractive platform both for covert channel and covert communication. Recent years have witnessed growing researches on achieving covert communication with blockchain applications. Identifying covert channels in blockchain is necessary and important to design blockchain based covert communication schemes. However, there still lacks a systematical method to analyze all possible covert channels in blockchain applications. In the paper, we propose a layer based covert channel identification method to analyze both covert storage channels and covert timing channels in blockchain applications. 11, 15, 14 and 19 new covert channels are identified in Bitcoin, Zcash, Monero and Ethereum with the proposed method, which proves the effectiveness of the method. The method is general and can be applied to identify covert channels in other blockchain applications, which lays foundation for both practical covert communication with blockchain applications and covert communication detection research.

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Publication Details

Journal
IEEE Transactions on Big Data
Published
2025-08-11
DOI
https://doi.org/10.1109/tbdata.2025.3594241
Primary Topic
Benford’s Law and Fraud Detection
Type
article
Field-Weighted Citation Impact
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article

Identifying Covert Channels in Blockchain: A Case Study on Bitcoin, Zcash, Monero and Ethereum

Tao Zhang
IEEE Transactions on Big Data
Benford’s Law and Fraud Detection
article

Identifying Covert Channels in Blockchain: A Case Study on Bitcoin, Zcash, Monero and Ethereum

Tao Zhang
article en

Abstract

Blockchain has been an attractive platform both for covert channel and covert communication. Recent years have witnessed growing researches on achieving covert communication with blockchain applications. Identifying covert channels in blockchain is necessary and important to design blockchain based covert communication schemes. However, there still lacks a systematical method to analyze all possible covert channels in blockchain applications. In the paper, we propose a layer based covert channel identification method to analyze both covert storage channels and covert timing channels in blockchain applications. 11, 15, 14 and 19 new covert channels are identified in Bitcoin, Zcash, Monero and Ethereum with the proposed method, which proves the effectiveness of the method. The method is general and can be applied to identify covert channels in other blockchain applications, which lays foundation for both practical covert communication with blockchain applications and covert communication detection research.

IEEE Transactions on Big DataVol. 11(6)
Beihang University (CN)
Zero hunger
Openalex Percentile: Top 80%
Benford’s Law and Fraud Detection
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