CoinFA: an efficient coin mixing scheme with flexible amounts

Author:

Yang Xin12,Zeng Peng1,Raymond Choo Kim-Kwang3,Li Chengju12,Yang Yanzhao4

Affiliation:

1. Shanghai Key Laboratory of Trustworthy Computing , East China Normal University, Shanghai, China

2. National Mobile Communications Research Laboratory , Southeast University, NanJing, China

3. Department of Information Systems and Cyber Security , University of Texas at San Antonio, San Antonio, TX 78249, USA

4. Jilin University , Changchun, China

Abstract

Abstract Coin mixing is an efficient anonymization technology of cryptocurrency used to eliminate the linkability of transaction parties by hiding their addresses in an anonymous set. However, a common weakness with most existing coin mixing schemes is that the amount of mixed coins must be the same for all requests within a mixing cycle, otherwise it is easy for an attacker to restore the linkability of transaction parties. In this paper, we design a stage-payable puzzle solution mechanism, named CoinFA, which reverses the control of the requesting amounts to the users for flexible mixing amounts. In our design, the payee (with an output address) first requests a puzzle from the mixers and the latter are the only ones who know the solution of the puzzle. If the payee solves the puzzle successfully, he can be rewarded with the corresponding Bitcoins. The payer (allowed to have multiple input addresses) then requests the solution by paying in installments. We achieve better security by weakening the rights of the involved third parties, while the hierarchical structure allows our solution to have better efficiency and robustness. We perform a security analysis on CoinFA based on the standard Rivest-Shamir-Adleman (RSA) assumption and Elliptic Curve Digital Signature Algorithm unforgeability. We also analyze the performance of CoinFA by comparing it with two related schemes, and the results show that our CoinFA scheme has a greater advantage when the mixing amount is relatively small.

Funder

National Key Research and Development Program of China

Shanghai Natural Science Foundation

National Natural Science Foundation of China

Key Laboratory of Information Network Security of Ministry of Public Security

National Mobile Communications Research Laboratory, Southeast University

Shanghai Trusted Industry Internet Software Collaborative Innovation Center

Cloud Technology Endowed Professorship

Publisher

Oxford University Press (OUP)

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