基于演化博弈的用户平台隐私保护行为分析
Analysis of User Platform Privacy Protection Behavior Based on Evolutionary Game
洪蕾 1张峥1
作者信息
- 1. 上海理工大学 管理学院,上海 200093
- 折叠
摘要
在数字经济背景下,各类App平台数据泄露和倒卖事件频发,大量用户真实的隐私信息遭到泄露,因此探究平台用户数据隐私保护问题意义非凡.为了解决该问题,首先建立"平台—用户"双方演化博弈模型,然后利用MAT-LAB仿真分析平台隐私保护问题的双方博弈动态演化过程和均衡结果,最后对影响实验结果的重要因素进行深入探究.实验表明,平台合规经营的成本、平台违规经营被公众披露的概率是影响平台经营策略选择的关键因素,降低平台合规经营成本和提升平台违规经营被公众披露的概率对平台经营策略的选择具有积极影响.
Abstract
In the context of the digital economy,various types of App platforms have frequent data leaks and reselling incidents,and a large number of users' real privacy information has been leaked.Therefore,exploring the issue of platform user data privacy protection is of great sig-nificance.In order to solve this problem,a"platform user"evolutionary game model was first established,and then MATLAB simulation was used to analyze the dynamic evolution process and equilibrium results of the game between the two sides of the platform privacy protection prob-lem.Finally,important factors affecting the experimental results were deeply explored.Experiments have shown that the cost of compliant plat-form operations and the probability of platform violations being disclosed to the public are two key factors affecting the selection of platform business strategies.Reducing the cost of compliant platform operations and increasing the probability of platform violations being disclosed to the public have a positive impact on the selection of platform business strategies.
关键词
数字经济/隐私保护/演化博弈/仿真Key words
digital economy/privacy protection/evolutionary games/simulation引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据