Abstract: 【Purpose/significance】In order to improve the regulation of APP personal information security, it is necessary to study the problems of tripartite evolutionary game in the regulation of APP personal information security【. Method/process】Based on the evolu⁃ tionary game theory, we construct a tripartite evolutionary game model of APP users, APP practitioners and government regulators. To analyze the equilibrium stabilization strategy of the evolving game system and simulate the evolution process of the stabilization strat⁃ egy.【Result/conclusion】The research shows that (negative rights protection, self-regulation, low-cost regulation), (negative rights pro⁃ tection, no self-regulation, high-cost regulation) and (negative rights protection, self-regulation, high-cost regulation) are the three stable strategies of the evolving game system. Accordingly, this paper proposes the following countermeasures: Increase the publicity and education on APP personal information security to stimulate APP users' awareness of their rights; Clarify the self-regulatory obli⁃ gations of APP practitioners and establish an internal regulatory mechanism for the industry; Improve the incentive-based regulatory instruments mainly based on incentives and constraints. Ultimately, the goal of maximizing the benefits of APP personal information se⁃ curity regulation will be achieved【. Innovation/limitation】In the future, scientific methods and technologies will be selected to conduct sensitivity analysis on parameters of the three-party game model of APP personal information security supervision, so as to optimize the robustness and reliability of the model.