This data is used in “Behavior-aware Account De-anonymization on Ethereum Interaction Graph” for account de-anonymization research. It is extracted and constructed from the Ethereum transaction records.
The package of data is here, in which there are four types of account datasets. Each dataset is a set of the sampled 2-hop subgraphs centered on target accounts on the Ethereum Interaction graph.
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Papers with Code
Papers with Code - Behavior-aware Account De-anonymization on Ethereum Interaction Graph
IEEE
Behavior-Aware Account De-Anonymization on Ethereum Interaction Graph
Arxiv
Behavior-aware Account De-anonymization on Ethereum Interaction Graph
If you find this work useful, please cite the following:
@ARTICLE{9896899,
author={Zhou, Jiajun and Hu, Chenkai and Chi, Jianlei and Wu, Jiajing and Shen, Meng and Xuan, Qi},
journal={IEEE Transactions on Information Forensics and Security},
title={Behavior-Aware Account De-Anonymization on Ethereum Interaction Graph},
year={2022},
volume={17},
number={},
pages={3433-3448},
doi={10.1109/TIFS.2022.3208471}
}
@inproceedings{shen2021identity,
title={Identity inference on blockchain using graph neural network},
author={Shen, Jie and Zhou, Jiajun and Xie, Yunyi and Yu, Shanqing and Xuan, Qi},
booktitle={International Conference on Blockchain and Trustworthy Systems},
pages={3--17},
year={2021},
organization={Springer}
}