@inproceedings{d8481cfd145b4e6bb496a0498e27ade1,
title = "A Generic Blockchain-based Steganography Framework with High Capacity via Reversible GAN",
abstract = "Blockchain-based steganography enables data hiding via encoding the covert data into a specific blockchain transaction field. However, previous works focus on the specific field-embedding methods while lacking a consideration on required field-generation embedding. In this paper, we propose GBSF, a generic framework for blockchain-based steganography. The sender generates the required fields, where the additional covert data is embedded to enhance the channel capacity. Based on GBSF, we design R-GAN that utilizes the generative adversarial network (GAN) with a reversible generator to generate the required fields and encode additional covert data into the input noise of the reversible generator. We then explore the performance flaw of R-GAN and introduce CCR-GAN as an improvement. CCR-GAN employs a counter-intuitive data preprocessing mechanism to reduce decoding errors in covert data. It incurs gradient explosion for model convergence and we design a custom activation function. We conduct experiments using the transaction amount of the Bitcoin mainnet as the required field. The results demonstrate that R-GAN and CCR-GAN allow to embed 11-bit (embedding rate of 17.2%) and 24-bit (embedding rate of 37.5%) covert data within a transaction amount, and enhance the channel capacity of state-of-the-art works by 4.30% to 91.67% and 9.38% to 200.00%, respectively.",
keywords = "GAN, blockchain, capacity enhancement, covert channel, steganography",
author = "Zhuo Chen and Liehuang Zhu and Peng Jiang and Jialing He and Zijian Zhang",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE Conference on Computer Communications, INFOCOM 2024 ; Conference date: 20-05-2024 Through 23-05-2024",
year = "2024",
doi = "10.1109/INFOCOM52122.2024.10621377",
language = "English",
series = "Proceedings - IEEE INFOCOM",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "241--250",
booktitle = "IEEE INFOCOM 2024 - IEEE Conference on Computer Communications",
address = "United States",
}