Analysis of User Platform Privacy Protection Behavior Based on Evolutionary Game
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.
digital economyprivacy protectionevolutionary gamessimulation
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