How Attackers Launder Funds through Mixers: Characterization and Detection on Ethereum
Published in ACM SIGMETRICS 2027. June 7–11, 2027, Atlanta, Georgia, USA, 2027
Overview
A characterisation and detection study of how attackers launder funds through Ethereum mixers.
Cite
Qishuang Fu, Hang Zheng, Xihan Xiong, Joseph Liu, Yixin Liu, Shirui Pan, Qin Wang, Weiqing Wang, Zhipeng Wang, and Tsz Hon Yuen. “How Attackers Launder Funds through Mixers: Characterization and Detection on Ethereum.” To appear in ACM SIGMETRICS 2027, 2027.
This paper characterises how attackers use Ethereum mixers to launder funds and develops detection methods to identify suspicious mixer-related activity.