A game-theoretic approach of mixing different qualities of coins

【Author】 Liu, Xiaozhang; Yu, Xinying; Zhu, Haojia; Yang, Guoyu; Wang, Yilei; Yu, Xiaomei

【Source】INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

【影响因子】8.993

【Abstract】Perpetrators leverage the untraceable feature to conduct illegal behaviors leading security issues with respect to mixing coins. Generally, bad coins are blocked based on a common blacklist. However, the blacklist may not be updated in time, which results in that bad coins escape the blocking. Consequently, perpetrators can still conduct illicit behaviors such as money laundering. In this paper, we apply game theory under imperfect information to study how coins' quality restrain these illicit behaviors under the incomplete scenario. More specifically, we propose a strategy for participants to submit deposits if they hope to mix coins with others even if they are not in blacklist at this time. The deposits will not be refunded when participants are included in the blacklist after mixing. Therefore, no participants have incentives to mix with bad coins. At the last part of this paper, we also simulate the incomes for participants, which indicates that deposits strategy is effective to prevent illicit behaviors.

【Keywords】anonymity; Bitcoin; game theory; policy; smart contract

【发表时间】2020 DEC

【收录时间】2022-01-02

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