Research on platform data security governance strategy based on three-party evolutionary game

With the implementation of the overall national security concept, data security governance rises to a new strategic height. In this paper, for the incomplete status quo of digital service platforms, third-party testing organizations and government regulators in the construction of digital security, an evolutionary game model based on the above three parties is constructed. The model examines the strategic decision-making process, behavioral influences, and evolutionary stability of the three players, and is simulated and analyzed using MATLAB. The results show that the evolutionary system will reach the ideal stable state <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>E</mml:mi> <mml:mrow><mml:mo>(</mml:mo> <mml:mrow><mml:mn>1</mml:mn> <mml:mo>,</mml:mo> <mml:mn>1</mml:mn> <mml:mo>,</mml:mo> <mml:mn>1</mml:mn></mml:mrow> <mml:mo>)</mml:mo></mml:mrow> </mml:mrow> </mml:math> , which corresponds to the combination of strategies: providing high-quality products, refusing to rent-seeking, and strict regulation. In order to guide the evolving system to reach the ideal stable state, this study puts forward some policy recommendations in terms of establishing a data security assessment mechanism, collaborative technology governance, and optimizing the governance architecture.