Research on the evolution of tripartite data protection strategy based on game theory

Abstract

In recent years, data leakage incidents have been frequently exposed, and personal privacy protection has become a major issue. To explore the laws of data leakage and solve practical problems, the reasons for data leakage and the evolution of players’ strategy in the game are discussed. After sorting out the interest relationship of data leakage incidents, a three-party evolution model of invaders, operators, and regulators is established to analyze the evolution path from the perspective of a single party. The Lyapunov theory is used to analyze the stability of equilibrium points of the system and then verified by MATLAB simulation. The influence relationship of various parameters on the system is analyzed. Finally, the ideal state is defined and the system is attempted to be modified. The results demonstrate that under the current system, the evolution direction cannot be changed by the initial intention of players. The game result will eventually form a situation with a strong attack from invaders, advanced defense from operators, and extensive management from regulators. The attack level can be reduced by adjusting the controllable parameters, modifying the evolution path, and calculating the parameter range.