数字货币交易匿名性与监管的博弈分析

doi:10.11959/j.issn.2096-109x.2022068

Abstract

Abstract:

By using technologies such as blockchain, digital currency, as a new type of monetary asset, has been promoting the development of digital economy.Digital currency trading platform plays an important role in the use of private digital currency by digital currency users.Existing digital currency trading platforms may expose users’ privacy and provide illegal elements with the conditions to participate in various abnormal trading behaviors such as“air dropping” events, extortion, fraud, etc.The strong anonymity protection of users by digital currency trading platforms also make it more difficult for regulatory authorities to supervise digital currency transactions.Therefore, the strength of the anonymity protection of users by digital currency trading platforms need to consider not only the privacy protection of users, but also meet the regulatory requirements.For this reason, based on the analysis of the relationship between the digital currency trading platforms and the supervisory departments, an evolutionary game model was established, the digital currency trading platform and the supervisory game model were defined and constructed, and the replication dynamic equation was solved and the balanced solution was obtained according to the income matrix between the digital currency trading platform and the supervisory department.By building a Jacobian matrix, the stability of the evolutionary system under different parameters was analyzed.Besides, the evolutionary stable selection and strategy of the digital currency trading platform and the regulatory authority under different conditions were also analyzed.With Matlab, different strategies of anonymity protection of the digital currency trading platform and different strategies of supervision strategy of the regulatory department were simulated to verify the accuracy of the game model.Based on the results of the simulations, some suggestions on the supervision of digital currency trading platforms are put forward, which provides a theoretical basis for the future supervision of digital currency trading platforms in China.

Key words: evolutionary game, digital currency trading platform, privacy protection, anonymity, regulatory

CLC Number:

TP393

Xian ZHANG, Jianming ZHU, Zhiyuan SUI, Shengzhi MING. Analysis on anonymity and regulation of digital currency transactions based on game theory[J]. Chinese Journal of Network and Information Security, 2022, 8(5): 150-157.

Figures/Tables 6

均衡点	detJ	trJ
e₁=(0, 0)	(X-Y)(Z-O)	X-Y+Z-O
e₂=(0, 1)	(O-Z)(X-Y-μ)	O-Z+X-Y-μ
e₃=(1, 0)	(Y-X)(Z-O+μ)	Y-X+Z-O+μ
e₄=(1, 1)	(X-Y-μ)(Z-O+μ)	X-Y-Z+O
$e_{5} = \frac{O - Z}{μ} ， \frac{X - Y}{μ}$	(1-p)(1-q)(O-Z)(Y-X)	0

References 8

[1]	付烁, 徐海霞, 李佩丽 ,等. 数字货币的匿名性研究[J]. 计算机学报, 2018,42(5): 1045-1062.
	FU S , XU H X , LI P L ,et al. A survey on anonymity of digital currency[J]. Chinese Journal of Computers, 2018,42(5): 1045-1062.
[2]	曾宪力 . 私人数字货币的法律属性及监管研究[D]. 上海:华东政法大学, 2021.
	ZENG X L . Research on legal attribute and supervision of private digital currency[D]. Shanghai:East China University of Political Science and Law, 2021.
[3]	沈蒙, 桑安琪, 祝烈煌 ,等. 基于动机分析的区块链数字货币异常交易行为识别方法[J]. 计算机学报, 2021,44(1): 193-208.
	SHEN M , SANG A Q , ZHU L H ,et al. Abnormal transaction behavior recognition based on motivation analysis in blockchain digital currency[J]. Chinese Journal of Computers, 2021,44(1): 193-208.
[4]	胡俏, 齐佳音 . 基于SD演化博弈模型的数字货币扩散演化仿真研究[J]. 系统工程理论与实践, 2021,41(5): 1211-1228.
	HU Q , QI J Y . Cryptocurrency diffusion evolution simulation based on SD evolution game model[J]. Systems Engineering-Theory ＆Practice, 2021,41(5): 1211-1228.
[5]	郭阳楠, 蒋文保, 叶帅 . 可监管的区块链匿名交易系统模型[J]. 计算机应用, 2022,42(9): 2757-2764.
	GUO Y N , JIANG W B , YE S . Supervisable blockchain anonymous transaction system model[J]. Journal of Computer Applications, 2022,42(9): 2757-2764.
[6]	张前程, 王明成 . 农村金融监管的演化博弈模型分析[J]. 安徽工业大学学报(社会科学版), 2010,27(5): 3-5.
	ZHANG Q C , WANG M C . Evolutionary game analysis of rural financial supervision[J]. Journal of Anhui University of Technology (Social Sciences), 2010,27(5): 3-5.
[7]	刘荣, 王凤兰, 王非 . 基于演化博弈模型的网络攻防策略[J]. 科学技术与工程, 2020,20(21): 8671-8675.
	LIU R , WANG F L , WANG F . Network attack and defense strategy based on evolutionary game model[J]. Science Technology and Engineering, 2020,20(21): 8671-8675.
[8]	丁佳 . 第三方支付机构洗钱风险的评估与监管问题研究[D]. 南京:南京师范大学, 2019.
	DING J . Third-party payment institution money laundering risk assessment and regulatory issues research[D]. Nanjing:Nanjing Normal University, 2019.

Metrics

Recommended 0

No Suggested Reading articles found!

主体策略	强监管策略S₁	弱监管策略S₂
强匿名性保护策略U₁	D-v₁-R，R-w₁	D-v₁-J，J-w₂
弱匿名性保护策略U₂	D-v₂-T，T-w₁	D-v₂-K，K-w₂

主体策略	强监管策略S₁	弱监管策略S₂
强匿名性保护策略U₁	X-g₁，Z-h₁	X，O-m₂
弱匿名性保护策略U₂	Y-g₂，Z	Y，O

均衡点	J的行列式符号	J的迹符号	局部稳定性
e₁	-	不确定	鞍点
e₂	+	+	不稳定点
e₃	+	-	稳定点
e₄	+	0	中心点
e₅	0	+	不稳定点

[1]	Saite CHEN, Weihai LI, Yuanzhi YAO, Nenghai YU. Location privacy protection method based on lightweight K-anonymity incremental nearest neighbor algorithm [J]. Chinese Journal of Network and Information Security, 2023, 9(3): 60-72.
[2]	Jianlong XU, Jian LIN, Yusen LI, Zhi XIONG. Distributed user privacy preserving adjustable personalized QoS prediction model for cloud services [J]. Chinese Journal of Network and Information Security, 2023, 9(2): 70-80.
[3]	Zhe SUN, Hong NING, Lihua YIN, Binxing FANG. Preliminary study on the construction of a data privacy protection course based on a teaching-in-practice range [J]. Chinese Journal of Network and Information Security, 2023, 9(1): 178-188.
[4]	Xue BAI, Baodong QIN, Rui GUO, Dong ZHENG. Two-party cooperative blind signature based on SM2 [J]. Chinese Journal of Network and Information Security, 2022, 8(6): 39-51.
[5]	Min XIAO, Tao YAO, Yuanni LIU, Yonghong HUANG. Dynamic and efficient vehicular cloud management scheme with privacy protection [J]. Chinese Journal of Network and Information Security, 2022, 8(6): 70-83.
[6]	Chenxin LU, Bing CHEN, Ning DING, Liquan CHEN, Ge WU. Identity-based anonymous cloud auditing scheme with compact tags [J]. Chinese Journal of Network and Information Security, 2022, 8(6): 156-168.
[7]	Shengzhi MING, Jianming ZHU, Zhiyuan SUI, Xian ZHANG. Online medical privacy protection strategy under information value-added mechanism [J]. Chinese Journal of Network and Information Security, 2022, 8(6): 169-177.
[8]	Feng LIU, Jie YANG, Jiayin QI. Survey on blockchain privacy protection techniques in cryptography [J]. Chinese Journal of Network and Information Security, 2022, 8(4): 29-44.
[9]	Lin JIN, Youliang TIAN. Multi-authority attribute hidden for electronic medical record sharing scheme based on blockchain [J]. Chinese Journal of Network and Information Security, 2022, 8(4): 66-76.
[10]	Weicheng ZHANG, Hongquan WEI, Shuxin LIU, Liming PU. Fast handover authentication scheme in 5G mobile edge computing scenarios [J]. Chinese Journal of Network and Information Security, 2022, 8(3): 154-168.
[11]	Zhensheng GAO, Lifeng CAO, Xuehui DU. Research progress of access control based on blockchain [J]. Chinese Journal of Network and Information Security, 2021, 7(6): 68-87.
[12]	Chuanxin ZHOU, Yi SUN, Degang WANG, Huawei GE. Survey of federated learning research [J]. Chinese Journal of Network and Information Security, 2021, 7(5): 77-92.
[13]	Rongna XIE, Xiaonan FAN, Lin YUAN, Zichen GUO, Jiayu ZHU, Guozhen SHI. Research on extended access control mechanism in online social network [J]. Chinese Journal of Network and Information Security, 2021, 7(5): 123-131.
[14]	Zhanhui YUAN, Zhi YANG, Hongqi ZHANG, Shuyuan JIN, Xuehui DU. Android complex information flow analysis method based on communicating sequential process [J]. Chinese Journal of Network and Information Security, 2021, 7(5): 156-168.
[15]	Kui REN, Quanrun MENG, Shoukun YAN, Zhan QIN. Survey of artificial intelligence data security and privacy protection [J]. Chinese Journal of Network and Information Security, 2021, 7(1): 1-10.

Analysis on anonymity and regulation of digital currency transactions based on game theory

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 6

References 8

Related Articles 15

Metrics

Recommended 0