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

Zhen Tian1, Meng Han1, Chuchu Jiang1

  • 1Zhengzhou University of Light Industry, School of Economics and Management, China.

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|September 12, 2024
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Summary

This study models data security governance, finding that high-quality products, no rent-seeking, and strict regulation lead to an ideal stable state. Policy recommendations aim to guide digital service platforms, regulators, and testing organizations toward this secure outcome.

Keywords:
Digital ecologyDigital security governanceEvolutionary game modelSimulation analysis

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Area of Science:

  • Computer Science
  • Information Security
  • Game Theory

Background:

  • Data security governance is critical under the national security concept.
  • Current digital security frameworks face challenges with platforms, third-party testers, and regulators.
  • An evolutionary game model is needed to analyze multi-party strategic interactions.

Purpose of the Study:

  • To construct an evolutionary game model for data security governance involving digital service platforms, third-party testing organizations, and government regulators.
  • To analyze the strategic decision-making, behavioral influences, and evolutionary stability of these three key players.
  • To identify the conditions for achieving an optimal and stable state in digital security governance.

Main Methods:

  • Development of an evolutionary game model incorporating three distinct players.
  • Simulation and analysis of the model using MATLAB to examine strategic interactions.
  • Evaluation of the evolutionary stability of different strategy combinations.

Main Results:

  • The evolutionary system converges to an ideal stable state.
  • This stable state is characterized by high-quality product provision, rejection of rent-seeking behavior, and stringent regulatory oversight.
  • The model identified specific strategy combinations leading to optimal data security.

Conclusions:

  • Achieving optimal data security requires a coordinated strategy among platforms, testers, and regulators.
  • Policy recommendations include establishing data security assessment mechanisms and collaborative technology governance.
  • Optimizing the overall governance architecture is essential for long-term data security and national security.