@inproceedings{cdf1dd21dade46a29ee3c51917120719,
title = "Analysis of Address Linkability in Tornado Cash on Ethereum",
abstract = "Tornado Cash, the most popular non-custodial coin mixer on Ethereum, is widely used to protect the privacy of addresses. However, some inappropriate transaction behaviors in Tornado Cash mixing mechanism lead to the risk of privacy leakage. More specifically, the malicious attackers can link multiple addresses of the same users according to the transaction data. Motivated by the above problem, this paper systematically analyzes the privacy issues of Tornado Cash for the first time. In this paper, we give the macroscopic analysis of Tornado Cash based on the on-chain data and formalize two types of transaction patterns. Focus on the presented transaction patterns, we propose three heuristic clustering rules to link the users{\textquoteright} addresses, which reduce the size of users{\textquoteright} anonymity set. Finally, we perform the experiment on real Tornado Cash transaction data to describe the effectiveness of the proposed clustering rules.",
keywords = "Address linkability, Ethereum, Heuristic cluster, Tornado Cash",
author = "Yujia Tang and Chang Xu and Can Zhang and Yan Wu and Liehuang Zhu",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s).; 18th China Cyber Security Annual Conference, CNCERT 2021 ; Conference date: 20-07-2021 Through 21-07-2021",
year = "2022",
doi = "10.1007/978-981-16-9229-1\_3",
language = "English",
isbn = "9789811692284",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "39--50",
editor = "Wei Lu and Yuqing Zhang and Weiping Wen and Hanbing Yan and Chao Li",
booktitle = "Cyber Security - 18th China Annual Conference, CNCERT 2021, Revised Selected Papers",
address = "Germany",
}