数据采集流程认证机制的演化博弈分析

Evolutionary Game Analysis of Authentication Mechanism in Data Acquisition Process

数字经济的高速发展已经受到了质疑,数据安全问题已成为各国政府数据治理的一项挑战。本文以标准视角,创新性地提出数据采集流程认证机制,界定了必要采集和非必要采集数据的概念,在构建平台企业和消费者双方博弈的基础上,利用动态演化博弈分析了双方的稳定策略与博弈路径,通过模拟仿真进一步讨论了平台企业认证成本对双方博弈路径的影响。研究结果表明:(1)平台企业“完成认证”、消费者“全部授权”是博弈理想的稳定策略;(2)平台企业初始策略选择会影响消费者的策略选择,最终形成“U型”曲线;(3)平台企业的认证成本会影响模型演化的速度和结果。研究结果为平台企业个人数据采集流程认证的建立提供了理论依据,为政府制定相关政策提供了参考,对于数字经济的健康发展具有重要的理论意义和实践价值。

Can the digital economy continue to grow at a rapid pace?Data security issues have become a challenge for governments in data governance.From a standard perspective,this paper innovatively proposes the authentication mechanism of data acquisition process,defines the concepts of necessary collection and non-essential collection data,and on the basis of playing the game between platform enterprises and consumers,analyzes the stability strategy and game path of both parties by using dynamic evolutionary game,and further discusses the impact of platform enterprises’authentication cost on the game path of both parties through simulation.The results show that:(1)“Complete authentication”and“complete authorization”are ideal stable strategies for the game;(2)The initial strategy of the platform enterprise have a impact on the tactics chosen by consumers,finally forming a“U-shaped”curve;(3)The certification cost of platform enterprises will affect the speed and result of model evolution.The research results provide a theoretical basis for the establishment of the platform enterprise personal data collection process certification,and provide reference for the government to formulate relevant policies,and have important theoretical significance and practical value for the healthy development of the digital economy.