Traffic Correlation for Deanonymizing Cryptocurrency Wallet Through Tor

Xiangdong Kong, Meng Shen*, Zheng Che, Congcong Yu, Liehuang Zhu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Cryptocurrencies have increasingly become the preferred choice for private transactions due to their anonymity and decentralized features. When a user creates transactions using wallet software with built-in Tor module, their identity information is further protected. At the same time, however, this combination of Tor and cryptocurrency is misused to carry out illegal acts, while the perpetrators are difficult to detect. Therefore, it is important to study traffic correlation methods for cryptocurrencies over Tor to maintain a healthy blockchain ecosystem. In this paper, based on existing work, we propose CryptoCorr, a traffic analysis model for cryptocurrency wallets, which can screening the collected Tor traffic data based on time window and flow features, and implement traffic correlation for cryptocurrency wallets based on deep learning architecture. We validate the proposed model by constructing a dataset with 82077 collected packets of wallet, and the experiment results demonstrate the effectiveness of the CryptoCorr model.

Original languageEnglish
Title of host publicationBlockchain and Trustworthy Systems - 4th International Conference, BlockSys 2022, Revised Selected Papers
EditorsDavor Svetinovic, Yin Zhang, Xiaoyan Huang, Xiapu Luo, Xingping Chen
PublisherSpringer Science and Business Media Deutschland GmbH
Pages292-305
Number of pages14
ISBN (Print)9789811980428
DOIs
Publication statusPublished - 2022
Event4th International Conference on Blockchain and Trustworthy Systems, Blocksys 2022 - Chengdu, China
Duration: 4 Aug 20225 Aug 2022

Publication series

NameCommunications in Computer and Information Science
Volume1679 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference4th International Conference on Blockchain and Trustworthy Systems, Blocksys 2022
Country/TerritoryChina
CityChengdu
Period4/08/225/08/22

Keywords

  • CryptoCurrency
  • Deanonymizing
  • Tor
  • Traffic analysis
  • Wallet RPC

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