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基于三方演化博弈的平台数据安全治理策略研究

Research on platform data security governance strategy based on three-party evolutionary game.

作者信息

Tian Zhen, Han Meng, Jiang Chuchu

机构信息

Zhengzhou University of Light Industry, School of Economics and Management, China.

出版信息

Heliyon. 2024 Aug 16;10(17):e36391. doi: 10.1016/j.heliyon.2024.e36391. eCollection 2024 Sep 15.

Abstract

With the implementation of the overall national security concept, data security governance rises to a new strategic height. In this paper, for the incomplete status quo of digital service platforms, third-party testing organizations and government regulators in the construction of digital security, an evolutionary game model based on the above three parties is constructed. The model examines the strategic decision-making process, behavioral influences, and evolutionary stability of the three players, and is simulated and analyzed using MATLAB. The results show that the evolutionary system will reach the ideal stable state , which corresponds to the combination of strategies: providing high-quality products, refusing to rent-seeking, and strict regulation. In order to guide the evolving system to reach the ideal stable state, this study puts forward some policy recommendations in terms of establishing a data security assessment mechanism, collaborative technology governance, and optimizing the governance architecture.

摘要

随着总体国家安全观的贯彻实施,数据安全治理上升到新的战略高度。本文针对数字服务平台、第三方检测机构和政府监管部门在数字安全建设中存在的不完善现状,构建了基于上述三方的演化博弈模型。该模型考察了三方参与者的战略决策过程、行为影响和演化稳定性,并运用MATLAB进行模拟分析。结果表明,演化系统将达到理想稳定状态,即对应于提供高质量产品、拒绝寻租和严格监管的策略组合。为引导演化系统达到理想稳定状态,本研究在建立数据安全评估机制、协同技术治理和优化治理架构方面提出了一些政策建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9323/11385774/2ef4c55295e8/gr1.jpg

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