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دسته بندی:
حقوق خصوصی - Private law
سال انتشار:
2020
عنوان انگلیسی مقاله:
Adversarial behaviours in mixing coins under incomplete information
ترجمه فارسی عنوان مقاله:
رفتارهای خصمانه در اختلاط سکه در زیر اطلاعات ناقص
منبع:
Sciencedirect - Elsevier - Applied Soft Computing Journal, 96 (2020) 106605. doi:10.1016/j.asoc.2020.106605
نویسنده:
Yilei Wanga,b,∗, Andrea Bracciali c, Guoyu Yang a, Tao Li d,e,a, Xiaomei Yu f
چکیده انگلیسی:
Criminals can launder crypto-currencies through mixing coins, whose original purpose is preservation
of privacy in the presence of traceability. Therefore, it is essential to elaborately design mixing polices
to achieve both privacy and anti-money laundering. Existing work on mixing policies relies on the
knowledge of a blacklist. However, these policies are paralysed under the scenario where the blacklist
is unknown or evolving. In this paper, we regard the above scenario as games under incomplete
information where parties put down a deposit for the quality of coins, which is suitably managed by
a smart contract in case of mixing bad coins. We extend the poison and haircut policies to incomplete
information games, where the blacklist is updated after mixing. We prove the existence of equilibria
for the improved polices, while it is known that there is no equilibria in the original poison and haircut
policies, where blacklist is public known. Furthermore, we propose a seminal suicide policy: the one
who mixes more bad coins will be punished by not having the deposit refunded. Thus, parties have
no incentives to launder money by leveraging mixing coins. In effect, all three policies contrast money
laundering while preserving privacy under incomplete information. Finally, we simulate and verify the
validity of these policies.
Keywords: Mixing coins | Incomplete information | Smart contract | Equilibrium
قیمت: رایگان
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