数据信托下平台数据安全的演化博弈仿真研究

Evolutionary Game Simulation of Platform Data Security under Data Trust

针对互联网平台的数据安全问题,探讨基于数据信托构建可行的多方治理路径。建立演化博弈模型分析平台和信托的行为策略和稳定状态,利用MATLAB仿真探究参数值变化对博弈稳定状态的影响。研究发现,信托投资收益、信托投资分担比例以及收益让渡比例等因素能够促进平台进行安全投入,项目溢出效应则有负面激励作用,政府通过政策工具能够促进演化博弈收敛于良性的状态。

Aiming at the data security problem of Internet platform,the construction of feasible multi-party governance path based on data trust was discussed.An evolutionary game model was established to analyze the behavior strategy and stable state of the platform and trust,and MATLAB simulation was used to explore the influence of parameter value changes on the stable state of the game.It is found that factors such as trust investment income,trust investment sharing ratio and income transfer ratio can promote the platform to invest in safety,while project spillover effect has negative incentive effect.The government can promote the convergence of evolutionary game to a benign state through policy tools.